NeuroLens is a premium, state-of-the-art Document Retrieval-Augmented Generation (RAG) system. It combines an immersive, holographic, sci-fi-themed React frontend with a high-performance FastAPI backend.
AI-powered healthcare platform with features like chat-based consultations, medication reminders, and appointment scheduling. Built during Postman x BITS Pilani API Hackathon 4.0.
A complete hierarchical corrective multi-agent Retrieval-Augmented Generation (RAG) stack designed to ingest MathWorks documentation and power an interactive troubleshooting assistant for MATLAB and Simulink users.
DocuMind AI API is a FastAPI backend that processes uploaded PDFs and enables context-aware question answering using RAG techniques. It manages document parsing, embeddings, and AI-powered responses exposed through clean, scalable APIs.
⚖️ A RAG-based legal QA system that answers queries from the Indian Constitution using 🦙 LLaMA3 and FAISS.🔗 Built with LangChain, 🤗 HuggingFace, and Streamlit for an interactive legal assistant experience.
Retrieval-Augmented Generation chatbot using Lovable, where the model retrieves relevant content from uploaded policy documents at query time and generates grounded responses, reducing hallucinations and enabling private knowledge access
This project is a sophisticated, AI-driven chatbot designed to streamline access to information about Zoho's suite of business applications. By leveraging a Retrieval-Augmented Generation (RAG) architecture, the chatbot provides accurate, context-aware answers to user queries by drawing directly from official Zoho documentation.
Secure document intelligence platform for teams
Retrieval Augmented Generation(RAG) is a technique that enhances the capabilities of LLMs by combining information retrieval with text generation. Instead of relying on pre-trained knowledge, RAG fetch relevant data from external sources and use it to generate more accurate responses.
AskMyDoc AskMyDoc is an intelligent web application that allows users to upload PDF documents and interact with their content through a conversational chat interface. Leveraging advanced AI, it provides concise, context-aware answers to user queries, complete with precise page citations for easy reference and navigation within the PDF viewer.
DocClarify is a RAG-based chatbot that allows users to upload PDF, DOCX, and TXT files, extract their content, and split the text into meaningful overlapping chunks. Implemented vector-based retrieval to identify relevant document sections and generate proper, context-aware answers using the Gemini API.
🎬 Movie Chatbot (Genre/Overview Recommendations)
A collection of beginner-friendly AI practice projects built while learning modern AI engineering concepts, including LLMs, Prompt Engineering, RAG, embeddings, and AI application development. Each project focuses on hands-on implementation and real-world AI workflows to build practical skills and a strong AI portfolio.
A RAG chatbot where you can upload files and query for responses
respiratory disease detection and rag chatbot for doctor personalized questions from the patients data
StockInsights is a Streamlit-powered financial news assistant that combines real-time news retrieval with RAG-based Q&A. It uses FAISS vector search and HuggingFace models for intelligent querying, plus FinBERT for sentiment analysis. The app delivers concise answers, trend summaries, and market insights in an interactive dashboard.
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