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Streamlit

Local-first RAG chatbot for university documents using PyMuPDF4LLM, FAISS, Groq and Llama.cpp.

Local-First PDF Q&A Assistant built using PyMuPDF4LLM and Llama.cpp. Supports PDF upload, document retrieval, and question answering using a local language model.

Production-ready RAG chatbot built with Streamlit, LangChain, FAISS, and local LLM support. Features document Q&A, PDF processing, and AGPLv3 compliance.

Smart Water Leakage Detection System built with Python and Streamlit for monitoring, reporting, and analyzing water leakage incidents.

Multimodal Retrieval-Augmented Generation (RAG) application built with Streamlit, LangChain and ChromaDB for intelligent document question answering.

A dual-mode RAG (Retrieval-Augmented Generation) chatbot. Mode 1 uses hybrid search (pgvector + BM25) with Ollama for fully local, free LLM inference. Mode 2 uses a lightweight Find-Retrieve-Answer workflow with PyMuPDF4LLM and llama.cpp for structured PDF Q&A with zero embeddings or vector database.

GRAM Connect is a platform that helps citizens identify and apply for eligible government welfare schemes based on their profile, location, income, and category. It provides scheme recommendations, eligibility checking, and awareness of government benefits.

Local Streamlit RAG research assistant for querying uploaded and preloaded documents with Ollama, LangChain, and ChromaDB.

Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern

A Streamlit-based research paper assistant that uses AI (RAG + PyMuPDF4LLM) for document summarization, Q&A, and multimedia analysis with local-first inference via Ollama.

Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern

Lightweight local RAG document chatbot with multilingual support (en/hi/te).

AI-powered document chatbot with RAG, FAISS vector search, OCR support, Local AI (Ollama), and BYOK integrations for Gemini and Groq.

AI Document Assistant - A local-first RAG chatbot built with Streamlit, LangChain, Ollama, and ChromaDB for PDF question answering, OCR, summarization, and resume analysis.

A local-first Retrieval-Augmented Generation chatbot for PDF Q&A built with Streamlit, LangChain, ChromaDB, and llama.cpp

FRIDAY-RAG is a Retrieval Augmented Generation chatbot built using Python and Streamlit.

NyayaSetu is an AI-powered Citizen Rights and Civic Governance Assistant that helps users understand laws, civic services, RTI procedures, and government schemes using Retrieval-Augmented Generation.

Multimodal RAG Chatbot built with LangChain, ChromaDB, Whisper, OCR, and Gemini for question answering over PDF, image, audio, and video files.

SafeShe Hyd is an AI-powered safety companion designed to help women stay secure and connected during emergencies.

TravelSathi is an AI-powered travel planning assistant developed for the Swecha Hackathon. It combines Retrieval-Augmented Generation (RAG), offline local language models (via Ollama), and multilingual support to generate personalized itineraries, budget estimations, local phrases, and destination recommendations.