- π I'm currently working on AI/ML applications β from computer vision to RAG-based systems
- π€ Open to interesting collaborations in Computer Vision and NLP
- π§ I enjoy working on the ML-deployment side of things β turning models into usable apps
- π± I'm currently learning advanced NLP and embedded AI systems (ESP32)
- π¬ Ask me about Computer Vision, RAG pipelines, or full-stack development
- β‘ Fun fact: won Runner-Up at ZABEFEST 2024 for a real-time AR clothing try-on system
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DL-RAG-toolkit
DL-RAG-toolkit PublicDeep learning implementations (ANN, CNN, RNN, LSTM, Transfer Learning) with a RAG-based document Q&A chatbot supporting PDF, DOCX, TXT, and XLSX ingestion. Built with PyTorch, LangChain, ChromaDB, β¦
Python
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PageTurn-AI
PageTurn-AI PublicCitation-backed study assistant β RAG-powered chat, summaries, MCQs, flashcards, and exam prep generated from your own lecture PDFs.
TypeScript
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CaseTrack
CaseTrack PublicFull-stack smart complaint management system with AI classification, role-based dashboards, email updates, and real-time notifications.
JavaScript
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Diabetes-Readmission-Pipeline
Diabetes-Readmission-Pipeline PublicML pipeline predicting diabetic patient readmission β data cleaning, EDA, and model comparison on real hospital data (Kaggle: Diabetes 130-US Hospitals).
Python
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MarketSynapse
MarketSynapse PublicForked from Muhammad-Ahmed-Rayyan/MarketSynapse
AI-powered financial intelligence platform combining news sentiment, price action & self-correcting market analysis.
JavaScript
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