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chatbot

Offline-first lecture transcription and structured study data extraction CLI/PWA.

An AI-powered bilingual assistant helping citizens discover government welfare schemes they're eligible for and draft RTI requests. Uses RAG with Google Generative AI, voice input, and real-time eligibility checking for Telangana and India-wide schemes.

Smart Cab Finder is an AI-powered ride comparison platform that helps users compare fares, estimated arrival times, and ride options across multiple cab providers. The application includes an intelligent AI assistant for ride recommendations, supports Bring Your Own Key (BYOK) integrations, and is designed to support local AI inference through Ollama. To improve accessibility, the platform provides multilingual support in English, Hindi, and Telugu. Built using Python and Flask, the project follows secure development practices with automated testing, CI/CD pipelines, security scanning, and compliance-driven documentation.

EndGame RAGHub is a scalable multimodal Retrieval-Augmented Generation platform supporting document, image, audio, and video understanding using FastAPI, Qdrant, LangGraph, and modern open-source AI infrastructure.

NyayaBloom is an AI-powered Judicial Intelligence Platform designed to democratize legal knowledge and improve judicial transparency across India. The platform enables citizens, lawyers, law students, researchers, journalists, and judicial professionals to access legal information, understand judicial processes, explore case precedents, and improve legal literacy through a multilingual AI-powered ecosystem. Instead of replacing judges, courts, or legal professionals, NyayaBloom serves as an intelligent legal knowledge assistant that simplifies legal information and promotes informed civic participation.

CivicTruth is a Retrieval-Augmented Generation (RAG) platform that enables transparent, citation-backed question answering over legislative and policy documents.

Our assistant addresses the challenge of navigating fragmented and massive match data from the IPL 2026 season. Currently, cricket fans and analysts struggle to extract specific match statistics or venue-specific performance metrics from raw CSV datasets without advanced data analysis tools.

StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).

Student Study Planner is a Streamlit-based application that enables students to organize their studies efficiently through subject and task management, automated study planning, progress analytics, AI-powered study assistance, and English/Telugu language support.

Lightweight local-first RAG chatbot built with Streamlit, Ollama, ChromaDB, SQLite, and local quality checks.

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

A Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, LangChain, FAISS, and sentence-transformers. Upload PDFs and ask questions using Gemini or local Llama.cpp LLMs.

A production-ready Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, LangChain, Google Gemini, and ChromaDB. Upload PDFs and ask questions — the system retrieves relevant document chunks and answers using Gemini's LLM.

AI-powered open-source repository onboarding assistant that analyzes GitHub repositories and provides onboarding guidance using Gemini and Ollama.

RAG Chatbot using LangChain, FAISS, Gemini and local LLM support.

Fully offline document Q&A system using PyMuPDF4LLM, Ollama, and llama.cpp. Dual LLM backend with pre-commit quality gates.

RAG Chatbot built using LangChain, FAISS, Groq LLM, and Flask. Supports PDF document ingestion and intelligent question answering through Retrieval-Augmented Generation.

AI-powered PDF Chatbot using Retrieval Augmented Generation (RAG), FAISS, and OpenAI APIs.

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

Local PDF RAG system using TinyLlama, FAISS, Streamlit, and Sentence Transformers.