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F2P Solver extracts mathematical formulas from PDF research papers and converts them into interactive Python simulations — entirely offline, on CPU. Upload a paper, and for every formula you get a callable Python function plus a live chart with sliders for each variable: drag a slider and the curve updates instantly, with no further AI calls. Built with Streamlit, pymupdf, ollama (Qwen2.5-7B), numpy, and Plotly. Runs on any Linux/macOS machine with a single command: ./run.sh.

LectureLens is a secure, localized, multi-modal ingestion pipeline that transforms raw educational assets into structured, high-retention study matrices. Built entirely on an offline-first philosophy, the system intercepts dense lecture audio streams and multi-page technical PDFs, running them through an isolated edge-computing layer to generate interactive flashcards, core concept maps, and dynamic glossaries without leaking sensitive user data to third-party cloud vectors.

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

AI-powered PDF RAG Chatbot built with Streamlit, LangChain, FAISS, and Google Gemini for intelligent document question answering.

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

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

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

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.

AI Chat Assistant is a conversational platform built using Streamlit, designed to integrate multiple Large Language Models (LLMs) such as Ollama (local hosting), OpenAI, and Google Gemini. The system provides a flexible interface for seamless interaction across different models while supporting customization through fine-tuned domain-specific datasets. Its architecture emphasizes scalability, multilingual support (including Indic languages), and accessibility, making it suitable for both personal productivity and enterprise use.

Doc Bot – AI Doctor Assistant is an interactive chatbot that provides doctor-style suggestions based on user-described symptoms. Built with Streamlit for a responsive and user-friendly interface, it integrates with the Dify.ai API to generate natural language responses. This project was developed as part of an internship at Swecha Telangana.

⚠️ Disclaimer: Doc Bot is for educational and informational purposes only and does not provide professional medical advice.

DietBot is a chatbot that helps users track meals, suggest diet plans, and promote healthy eating habits. It supports personalized recommendations and integrates with nutrition data sources.

🚀 VidyaVaani - Revolutionary AI-Powered Teacher's Assistant for Regional Schools

VidyaVaani is a cutting-edge, production-ready AI education platform that democratizes artificial intelligence for India's diverse linguistic landscape. Built with enterprise-grade architecture and powered by state-of-the-art open-source AI models, this platform bridges the digital divide by bringing advanced AI capabilities to government and rural schools.

🌟 Key Features: • Multilingual AI Excellence: Native support for 12+ Indic languages (Hindi, Telugu, Tamil, Kannada, Bengali, Marathi, Gujarati, Punjabi, Odia, Malayalam, Assamese) • Open Source AI Engine: Integration with Ollama, Gemma, Llama, and Mistral models for unlimited, cost-free AI processing • Smart Document Processing: AI-powered text extraction from PDFs, images, and documents • Dynamic Content Generation: Automated creation of quizzes, explanations, translations, and Q&A sessions • Voice-First Interface: Voice commands and TTS in regional languages • Production-Ready Architecture: Docker, Redis caching, Celery task queuing

Technical Stack: • Frontend: Streamlit with modern UI/UX • Backend: Flask REST API with JWT authentication • AI Integration: Local AI models via Ollama with cloud fallbacks • Database: SQLAlchemy with SQLite • DevOps: Docker Compose, production scripts, CI/CD templates

🎯 Impact & Vision: Empowers millions of teachers across India with AI co-pilots that understand their cultural and linguistic context. VidyaVaani is a revolution in educational technology that makes AI accessible, affordable, and culturally relevant for every Indian classroom.

🔬 Research & Innovation: Perfect for AI education research, multilingual model development, and educational technology innovation. Open-source architecture enables community contributions.

Built with ❤️ for India's educational excellence by the Swecha community.

This project, "Ruchi: Your Culinary Assistant," is a multilingual chatbot that provides cooking advice. Built with Streamlit in Python, it uses different Large Language Models (LLMs) for English and Telugu responses to offer culturally relevant recipes and tips.