View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1 follower · 0 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md

Animated Text

WebsiteLinkedInHugging FaceEmail

Profile ViewsVisitor Badge

  • 🎯 Focus & Impact: BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.

Open-Source Projects

Data Science, Machine Learning & Deep Learning Projects

TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.

DevOps Project

TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
• View live on Heroku: MeteoMate on Heroku
• View live on AWS: MeteoMate on AWS

Misc Projects

TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.

Blog Posts

I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:

Let's Connect

Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned Loading

  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic

    Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook

  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic

    Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook

  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic

    Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook

  4. BTC-Price-PredictorBTC-Price-PredictorPublic

    Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook

  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic

    Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python

  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic

    A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View IsraelAzoulay's full-sized avatar
🎯
Focusing
🎯
Focusing
1
follower
 · 0
following

Achievements
Achievement: Pull Shark
Achievements
Achievement: Pull Shark

Block or report IsraelAzoulay

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
IsraelAzoulay/README.md
Animated Text
WebsiteLinkedInHugging FaceEmail
Profile ViewsVisitor Badge
  • 🎯 Focus & Impact:
BSc in Computer Science and MSc in Data Science. I apply quantitative finance R&D, NLP/LLMs, AI agents, and computer vision to build innovative, production ready solutions to complex problems - leveraging cutting-edge tech to drive measurable impact and foster AI innovation.
  • 📚 Continuing Learning: Immersing myself in advanced deep learning algorithms and their applications across various domains. Always striving to stay at the forefront of technological advancements and best practices in the industry.
  • 🚀 Passions: Ardently dedicated to Data Science, Machine Learning, Deep Learning, and Computer Vision. Eager to collaborate, share insights and discuss groundbreaking ideas that push the boundaries of what’s possible.
  • ⚡ Fun fact: In the realm of data and algorithms, "Impossible" is simply "I'm-Possible", yet to be decoded.
Open-Source Projects
Data Science, Machine Learning & Deep Learning Projects
TitleDescription
DishVision: Multi Class Image Classifier - Computer VisionEnd-to-end project utilizing PyTorch for deep learning and computer vision, classifying images of three different types of food with 96+% accuracy on the test set. Includes a detailed replication of a Vision Transformer machine learning research paper. Deployed on Hugging Face as an interactive app and can be accessed here.
Food Image Deca (10 Classes) Classifier - Computer VisionClassifying images of 10 different food classes using deep learning and computer vision techniques with TensorFlow. Achieved 90% accuracy on the full test set.
Food Image 101 Classes Classifier - Computer VisionLeveraging TensorFlow for transfer learning and fine-tuning, this project classifies 101 different types of food with 80% accuracy on the test set. This performance outperforms the 50.76% baseline accuracy reported in the original Food101 paper using 10% of the training data and surpasses the 77.4% accuracy benchmark set by the DeepFood paper using 100% of the training data.
BTC Price Predictor - Time SeriesTime series forecasting project aimed at predicting the price of Bitcoin using machine learning and deep learning techniques with TensorFlow.
Smart Abstract Classifier - NLPDeveloping a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles, using TensorFlow.
HireMind - NLPA private, in-progress job management web-app merging advanced ML and DL models, NLP techniques, and robust management.
Webcam Guardian Alert - Computer Vision (OpenCV)A monitoring tool that uses your webcam to detect movement and send email alerts.
PropPredictDeveloping a Machine Learning Real Estate Price Prediction Engine.
TrackTelligence: Spotify Popularity Predictor - Data ScienceData Science project analyzing Spotify song features through EDA, clusterin, and statistical modeling to predict song popularity using statsmodels and scikit-learn.
DevOps Project
TitleDescription
MeteoMate 🌦️A Flask-powered weather web-app built with Python, Bash & JavaScript, serving real-time weather data for select cities. Features responsive UI, Docker containers (for the app and its unit tests), and CI/CD pipelines via GitHub Actions. Deployed on Heroku and AWS EKS using Terraform, Kubernetes, and Helm, showcasing continuous evolution.
 • View live on Heroku: MeteoMate on Heroku
 • View live on AWS: MeteoMate on AWS
Misc Projects
TitleDescription
GlobalForecast5Web application providing weather forecasting for any place globally for up to 5 days, visualized using line graphs or relevant images.
WeatherRESTful APIFlask-based web application providing access to temperature data from various weather stations around the world.
CSVPDFusionPython-based solution for generating PDF files for note-taking on specific programming topics, sourced from a CSV file.
Sheet2ReceiptPython application that converts invoice data from Excel files into structured PDF documents.
EventEagleEyePython-based application designed to periodically scan a specific website for new tour event announcements and send email notifications.
Blog Posts
I regularly share insightful posts on LinkedIn and publish in-depth articles on Medium, exploring topics in data science, machine learning, and deep learning. Discover my work and connect with me:
Let's Connect
Feel free to explore my work and connect with me through any of the platforms listed above. Let's exchange knowledge and build something amazing together 🚀

Pinned
Loading
  1. multi-class-image-classifier-computer-visionmulti-class-image-classifier-computer-visionPublic
    
Classifying images of three different types of food using deep learning and computer vision techniques with PyTorch. Achieved 96+% accuracy on the test set. Deployed on Hugging Face as an interacti…

    Jupyter Notebook
  2. food-image-deca-classifier-computer-visionfood-image-deca-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

    Jupyter Notebook
  3. food-image-101-classes-classifier-computer-visionfood-image-101-classes-classifier-computer-visionPublic
    
Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

    Jupyter Notebook
  4. BTC-Price-PredictorBTC-Price-PredictorPublic
    
Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

    Jupyter Notebook
  5. SmartAbstractClassifier-NLPSmartAbstractClassifier-NLPPublic
    
Currently developing a Natural Language Processing model to classify sentences in abstracts, articles, and other texts into their respective roles (objective, methods, results, etc.), enabling effi…

    Python
  6. TrackTelligence-Spotify-Popularity-PredictorTrackTelligence-Spotify-Popularity-PredictorPublic
    
A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.

    HTML