open-source

An open-source, modular public transport routing engine built with Python 3.13+. It abstracts external transit APIs behind a resilient service layer to compute efficient multi-modal routes with integrated caching and strict compliance.

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

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.

This project is a real-time voice translator web application built with Streamlit. It captures live speech input via microphone, recognizes the spoken text using speech recognition, translates it to a selected target language via machine translation, and plays back the translated audio using text-to-speech synthesis. The app supports multiple languages, provides start/stop controls for continuous conversation flows, displays original and translated text, allows editing of transcriptions, and enables exporting of recordings and analysis. It aims to facilitate accessible, multilingual communication and contribute to language corpora for research purposes.

AI/ML-based tool that predicts the likelihood of diabetes using medical parameters such as glucose, BMI, age, and blood pressure.

An open-source AI assistant designed by Nandini Golla using Hugging Face. ShaktiAI helps girls and students by providing friendly guidance, motivation, and emotional support through natural conversation.

SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch

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.

CampusMate Chatbot is a smart virtual assistant designed to support students, faculty, and campus visitors. It helps users with quick access to academic information, campus services, schedules, events, and FAQs. Built with AI and integrated into a user-friendly Streamlit interface, CampusMate provides instant, reliable, and personalized responses—making campus life more efficient and engaging.

A Streamlit-based music library application that allows users to browse, search, and stream audio tracks according to thier mood and also it is an otp sign in thing where it is integrated with swecha apis. Built with Python and Streamlit, designed for fast deployment.

This is a chat bot which translates english text into telugu

name: civicvoice-ai-app description: AI-powered civic engagement tool that summarizes public input and highlights actionable insights for governments. tags:

civic-tech NLP public-engagement AI default_branch: main visibility: public license: AGPL-3.0-only

The "Wisdom Jotter App" is an open-source, AI-powered Streamlit application designed to collaboratively collect proverbs and life-lessons and preserve valuable cultural and experiential knowledge from across India. This application serves as a "Corpus Collection Engine" for Viswam.ai's mission to develop AI that deeply understands India's linguistic and cultural diversity. It allows users to contribute either traditional proverbs or life lessons in their native languages. A core feature is the integration of an open-source AI model, sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2, for semantic duplicate detection. This ensures the collected data is unique, high-quality, and valuable for training future AI models. All contributions are stored securely in Google Sheets, and the app is built with an emphasis on accessibility for users in low-internet bandwidth regions.

ManaSampada is a functional web-based platform and community that leverages the power of citizen journalism to document, preserve, and celebrate India's diverse culture.

Resume Analyzer is an open-source tool built with Python that analyzes resumes using NLP and ML. It extracts skills, education, and experience, then matches them with job descriptions to generate similarity scores and recommendations for recruiters and job seekers.

JanaBhasha is an open-source multilingual dictionary and corpus collection platform focused on preserving India's linguistic diversity. It enables users to contribute regional words, folk songs, and stories — both in text and audio. Using AI models like Whisper and Puter, the platform supports real-time transcription and translation.

🚀 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.

Lok Katha is a corpus data collection app for preserving and sharing proverbs, folk tales, and oral traditions in multiple Indian languages. It allows contributors to submit text and audio, helping build an open, community-driven dataset for research, education, and cultural preservation.

this project is for recalling the old spiritual things

Project Description: A Streamlit-based Farmers Knowledge Corpus Engine to collect, preserve, and visualize traditional agricultural knowledge, remedies, folk practices, stories, and historical insights directly from farmers across India. The application allows farmers to submit knowledge in text, audio, video, or image formats, supports search and filtering by keywords, category, and language, and provides visual analytics such as word clouds, contribution maps, and category charts. Users can like entries, add comments, and export the corpus in CSV or JSON formats. The project aims to preserve indigenous knowledge for researchers, students, and agricultural communities while promoting community engagement and knowledge sharing.

Tags:Streamlit, Python, Agriculture, Knowledge Corpus, Data Visualization, Community Engagement, Open Source