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venom312004/README.md

Hi 👋, I'm Pranjal Pandey

AI Engineer | GenAI · LLM Applications · Agentic AI Systems

💫 About Me

  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems

🚀 Featured Projects

🎥 AI Video Assistant Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.

🤖 Multi-Agent AI Research System A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.

📄 PDF RAG Assistant Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.

🌆 City Intelligence System LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.

📉 Customer Churn Prediction XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.

🎬 Movie Recommendation System Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.

😊 Emotion Detection (NLP Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.

💻 Tech Stack

Languages & CorePythonSQL

GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI

ML / DLTensorFlowPyTorchscikit-learnNumPySciPy

VisualizationMatplotlibSeabornPlotly

Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned Loading

  1. movie-recommendation-systemmovie-recommendation-systemPublic

    🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python 2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic

    Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook 2

  3. AI-video-assistantAI-video-assistantPublic

    AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python 2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic

    Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python 2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic

    RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python 2

  6. city-intelligence-agentcity-intelligence-agentPublic

    Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python 2

, '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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venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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 venom312004's full-sized avatar
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 · 0
following


Block or report venom312004

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venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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 venom312004's full-sized avatar
😂
😂
1
follower
 · 0
following


Block or report venom312004

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Learn more about blocking users.


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Learn more about reporting abuse.

Report abuse
venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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 venom312004's full-sized avatar
😂
😂
1
follower
 · 0
following


Block or report venom312004

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.


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Report abuse
venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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('^' + ".*" + '

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venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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 venom312004's full-sized avatar
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😂
1
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 · 0
following


Block or report venom312004

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venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2


, '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 venom312004's full-sized avatar
😂
😂
1
follower
 · 0
following


Block or report venom312004

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Learn more about blocking users.


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venom312004/README.md
Hi 👋, I'm Pranjal Pandey
AI Engineer | GenAI · LLM Applications · Agentic AI Systems
💫 About Me
  • 🎓 B.Tech in Data Science & AI, GGSIPU (Delhi Technical Campus) — 2022–2026, CGPA 8.04
  • 🔭 Building end-to-end GenAI & Agentic AI systems — RAG pipelines, multi-agent workflows, and LLM-powered applications, deployed and production-ready
  • 🌱 Currently deepening my skills in LangGraph, MLOps, and scalable deployment pipelines
  • 👯 Open to collaborating on ML/GenAI projects — RAG, multi-agent systems, time-series forecasting, and real-world business problems
  • 🤝 Looking for guidance on MLOps and production-grade ML/LLM deployment practices
  • 💬 Ask me about LangChain, LangGraph, RAG, Python, ML model deployment, and data-driven product solutions
  • ⚡ Fun fact: I've shipped multiple GenAI apps live on Streamlit Cloud & Render — from AI video assistants to multi-agent research systems
🚀 Featured Projects
🎥 AI Video Assistant
Dual-engine transcription app (OpenAI Whisper + Sarvam AI for Hinglish) with RAG-based Q&A over video content, built using LangChain + Mistral AI + ChromaDB. Deployed on Streamlit Cloud.
🤖 Multi-Agent AI Research System
A 4-agent pipeline (Search → Scraper → Writer → Critic) built with LangChain LCEL and Mistral AI, automating end-to-end research report generation.
📄 PDF RAG Assistant
Document Q&A system using ChromaDB, Mistral AI embeddings, and MultiQueryRetriever for accurate, context-aware retrieval over PDFs.
🌆 City Intelligence System
LangGraph-based agent integrating weather & news tools with human-in-the-loop approval for reliable, controllable decision-making.
📉 Customer Churn Prediction
XGBoost-based churn model achieving 86% ROC-AUC, deployed on Streamlit Cloud with full feature engineering and evaluation pipeline.
🎬 Movie Recommendation System
Content-based recommender using TF-IDF + cosine similarity, with a FastAPI backend and Streamlit frontend, deployed on Render.
😊 Emotion Detection (NLP
Text-based emotion classifier using Logistic Regression + TF-IDF, achieving ~86% accuracy, deployed on Streamlit Cloud.
💻 Tech Stack
Languages & CorePythonSQL
GenAI / LLM / Agentic AILangChainLangGraphChromaDBMistral AI
ML / DLTensorFlowPyTorchscikit-learnNumPySciPy
VisualizationMatplotlibSeabornPlotly
Deployment & ToolsStreamlitFastAPIGitGitHub

Pinned
Loading
  1. movie-recommendation-systemmovie-recommendation-systemPublic
    
🎬 AI-powered full-stack movie recommendation system using TF-IDF + Cosine Similarity | FastAPI + Streamlit | Deployed on Render

    Python
2

  2. Customer-Churn-PredictionCustomer-Churn-PredictionPublic
    
Predicts telecom customer churn in real-time using XGBoost with 86% ROC-AUC | Features EDA, model comparison (LR vs RF vs XGBoost), threshold tuning & interactive Streamlit UI | Deployed on Streaml…

    Jupyter Notebook
2

  3. AI-video-assistantAI-video-assistantPublic
    
AI-powered meeting/video assistant — transcribes audio/video (English + Hinglish), generates summaries, extracts action items & decisions, and lets you chat with your meeting transcript using RAG. …

    Python
2

  4. MultiAgent-AI-Research-SystemMultiAgent-AI-Research-SystemPublic
    
Autonomous multi-agent AI research system built with LangChain & Mistral AI — search, scrape, write, and critique reports through a 4-agent pipeline with a Streamlit UI

    Python
2

  5. PDF-RAG-AssistantPDF-RAG-AssistantPublic
    
RAG-powered PDF assistant — upload a PDF, build a ChromaDB vector index, and chat with your document using Mistral AI + LangChain. Includes both Streamlit UI and CLI versions.

    Python
2

  6. city-intelligence-agentcity-intelligence-agentPublic
    
Agentic city assistant with human-in-the-loop tool approval — live weather & news powered by LangGraph and Mistral AI

    Python
2