Intelligent AI assistant to analyze PDF documents using RAG (Retrieval-Augmented Generation) technology and cloud LLMs. Supports Google Gemini, Hugging Face, OpenAI, and Anthropic Claude.

AI Album Recommendation Model using TF-IDF, SentenceTransformers & BART.

An AI-powered clinical assistant using Retrieval-Augmented Generation (RAG) on the MIMIC-IV DiReCT dataset. It retrieves relevant patient cases and generates diagnostic reasoning using LLMs. Built with Streamlit, Transformers, FAISS, and SentenceTransformers.

An intelligent AI-powered system that provides football/soccer knowledge assistance using a curated collection of professional documents and research papers.

AI-Powered Library Management System | Flutter + .NET Microservices + ML Recommendations

A Flask-based web app that delivers AI-powered movie recommendations through an interactive chatbot. It uses SentenceTransformers for semantic matching of user story descriptions and spaCy for keyword extraction, ensuring accurate suggestions. Built with Tailwind CSS for a responsive and engaging UI.

The project is designed as a practical introduction to RAG systems, showing how retrieval and generation can be orchestrated to answer user queries using only relevant document chunks. It is well-suited for learners and portfolio use, highlighting modern AI patterns like embeddings, vector search, and LLM integration.