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ishreya09/README.md

Shreya Mishra

ML Projects

Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction

Web dev projects

Campus CompassBook On RailsMoviewGrammar Check

Technologies Used

Top Langs

Deep LearningWeb DevelopmentProgramming LanguageDatabase

GitHub Activity

Your Contribution GraphYour GitHub Contribution Activity

Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned Loading

  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic

    We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook

  2. Stock-Price-PredictionStock-Price-PredictionPublic

    This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook

  3. Digit-recognition-modelDigit-recognition-modelPublic

    Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook

  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic

    Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook

  5. Human-Stress-PredictionHuman-Stress-PredictionPublic

    Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook

  6. DSADSAPublic

    DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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" + '

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11
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 · 13
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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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 ishreya09's full-sized avatar
11
followers
 · 13
following


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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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 ishreya09's full-sized avatar
11
followers
 · 13
following


Block or report ishreya09

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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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 ishreya09's full-sized avatar
11
followers
 · 13
following


Block or report ishreya09

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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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 ishreya09's full-sized avatar
11
followers
 · 13
following


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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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 ishreya09's full-sized avatar
11
followers
 · 13
following


Block or report ishreya09

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Learn more about blocking users.


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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

Pinned
Loading
  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++

, '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); }
})();
})();

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ishreya09/README.md
Shreya Mishra
ML Projects
Skin-Cancer DetectionParkinson Prediction ModelStock Price PredictionDog vs Cat ClassificationDigit Recognition ModelCar Price Prediction
Web dev projects
Campus CompassBook On RailsMoviewGrammar Check
Technologies Used
Top Langs
Deep LearningWeb DevelopmentProgramming LanguageDatabase
GitHub Activity
Your Contribution GraphYour GitHub Contribution Activity
Feel free to reach out to me if you have any questions or collaboration opportunities!

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  1. Parkinson-Prediction-ModelParkinson-Prediction-ModelPublic
    
We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

    Jupyter Notebook
  2. Stock-Price-PredictionStock-Price-PredictionPublic
    
This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

    Jupyter Notebook
  3. Digit-recognition-modelDigit-recognition-modelPublic
    
Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

    Jupyter Notebook
  4. Dog-vs-Cat-ClassificationDog-vs-Cat-ClassificationPublic
    
Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

    Jupyter Notebook
  5. Human-Stress-PredictionHuman-Stress-PredictionPublic
    
Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

    Jupyter Notebook
  6. DSADSAPublic
    
DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

    C++