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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.

College Assistance simplifies student life by providing instant access to academic guidance, notifications, and campus services.

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.

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A digital assistant for government document verification and preparation

JalRakshak – Smart Water Leak Reporting System

JalRakshak is an AI-powered civic technology platform designed to help citizens report water leaks, pipeline damages, and water wastage incidents in real time. The system enables users to submit reports with location details, images, and descriptions, while helping authorities efficiently monitor, prioritize, and resolve water-related issues.

The platform incorporates intelligent features such as duplicate report detection, location-based issue mapping, automated prioritization, and analytics dashboards to improve response efficiency and reduce water loss. By creating a direct communication channel between citizens and municipal authorities, JalRakshak promotes community participation in water conservation and urban infrastructure management.

Key Features:

Real-time water leak and wastage reporting GPS-based location tracking and mapping Image upload and issue documentation Duplicate report detection and merging Priority-based issue management Administrative dashboard for monitoring and resolution Analytics and reporting for decision-making Secure, scalable, and open-source architecture

JalRakshak aims to support sustainable water management, enhance civic engagement, and assist local governments in addressing water infrastructure problems quickly and effectively.

AI Government Scheme Recommender helps users find eligible government schemes using Streamlit and Python.

Streamlit assistant for classifying Hyderabad civic issues, routing complaints, and drafting formal civic complaint letters.

A fully local Retrieval-Augmented Generation (RAG) chatbot built using Streamlit, Ollama, ChromaDB, and open-source LLMs like Qwen and Llama.