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swecha

AI Medical Diagnosis Assistant (Multilingual)

An intelligent, multilingual medical diagnosis assistant built using Streamlit and Python. The assistant interacts with users to collect symptom information, matches symptoms against a structured medical knowledge base, and provides follow-up questions, suspected conditions, recommended medications, and specialist suggestions.

Supports multiple Indian languages including Hindi, Telugu, Tamil, Kannada, and Bengali via automatic translation. Designed for accessibility, early screening, and healthcare awareness — not a replacement for professional diagnosis.

A simple chatbot built using Hugging Face and Streamlit that answers user queries about Indian temples. The app provides cultural, historical, and architectural insights in a conversational format.

Project Title: Local Proverbs & Folk Wisdom Collector Description: A multilingual, AI-powered Streamlit app that collects local proverbs, sayings, and cultural wisdom from Indian communities. Built as part of the Summer of AI 2025 initiative to preserve linguistic and cultural diversity.

A crowdsourced platform to collect and categorize cultural data from across India for the Swecha Corpus project.

CREATING A SIMPLE CHATBOT USING STREAMLIT

Fitzor Bot is an open-source AI-powered fitness assistant that helps users stay healthy and active. It provides personalized workout recommendations, tracks fitness progress, answers health-related queries, and motivates users to achieve their goals. Built using Python, NLP, and chatbot frameworks, Fitzor Bot is designed for gyms, trainers, and individuals seeking smart health guidance.

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.

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.

VIRASAM – The Living Cultural Archive VIRASAM is a community-driven digital platform designed to preserve, share, and discover the rich cultural heritage of communities. It empowers users to document and maintain folk culture, traditions, local history, and traditional recipes through an interactive and AI-enhanced web application built on Streamlit and Supabase.

The platform combines modern technology with cultural preservation to enable global access, multilingual support, and community engagement. VIRASAM supports authentic storytelling and knowledge-sharing, fostering connections across generations and cultural groups.

Key features include intelligent AI-powered question answering, searchable cultural content, user authentication and contributions, and multimedia support — all aimed at safeguarding intangible cultural heritage for future generations.

VIRASAM – The Living Cultural Archive VIRASAM is a community-driven digital platform designed to preserve, share, and discover the rich cultural heritage of communities. It empowers users to document and maintain folk culture, traditions, local history, and traditional recipes through an interactive and AI-enhanced web application built on Streamlit and Supabase.

The platform combines modern technology with cultural preservation to enable global access, multilingual support, and community engagement. VIRASAM supports authentic storytelling and knowledge-sharing, fostering connections across generations and cultural groups.

Key features include intelligent AI-powered question answering, searchable cultural content, user authentication and contributions, and multimedia support — all aimed at safeguarding intangible cultural heritage for future generations.

this project is for recalling the old spiritual things

VIRASAM – The Living Cultural Archive VIRASAM is a community-driven digital platform designed to preserve, share, and discover the rich cultural heritage of communities. It empowers users to document and maintain folk culture, traditions, local history, and traditional recipes through an interactive and AI-enhanced web application built on Streamlit and Supabase.

The platform combines modern technology with cultural preservation to enable global access, multilingual support, and community engagement. VIRASAM supports authentic storytelling and knowledge-sharing, fostering connections across generations and cultural groups.

Key features include intelligent AI-powered question answering, searchable cultural content, user authentication and contributions, and multimedia support — all aimed at safeguarding intangible cultural heritage for future generations.

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

Telugu proverb collector and generator

✊ Swarajya Scanner — AI-Powered Legal Rights App in Your Language 🇮🇳 "Your rights. Your language. Your Swarajya."

Swarajya Scanner puts the Constitution in your pocket — and the confidence to use it. It's an AI-driven app that answers everyday legal questions in simple, regional language, helping citizens understand their rights without legal jargon.

Whether it's "Can police take my phone?" or "Do I need to give notice before quitting?", Swarajya Scanner breaks it down clearly, in languages people actually speak.

This was a solo project where I built an English-to-Telugu translation system. It converts text from English into natural, context-aware Telugu, aiming to make communication and learning easier across both languages.

Telugu Meme Remix / Desi Meme Center — a full-stack meme hub to create, remix and share Telugu memes. Live demo: https://app--telugu-meme-remix-c8f05cce.base44.app

🌟 VakyaVibe.ai – Indian Language Corpus Collection Platform VakyaVibe.ai is an open-source, community-powered web application designed to preserve and celebrate India's rich linguistic and cultural heritage. It serves as a multilingual Corpus Collection Engine, enabling users to contribute and explore proverbs, slang words, and tongue twisters across 10+ Indian languages and dialects.

🚀 Features 🌐 Multilingual Support – Hindi, Telugu, Tamil, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, and more

🤖 AI-Powered Intelligence – Mistral AI (primary), OpenAI (fallback), Ollama (local)

🗳️ Community Contributions – Submit, vote, and categorize cultural expressions

📊 Admin Dashboard – User stats, language analytics, CSV/JSON export

🤗 Hugging Face Integration – Dataset sync, backup, and model-ready formats

📱 Modern UX – Mobile-friendly, offline-first, PWA, dark/light modes

🔐 Data Governance – Validation, version control, and privacy safeguards

ManaBhasha AI – Telugu Q&A Chatbot ManaBhasha AI is a question-answering chatbot built for Telugu speakers. It leverages Retrieval Augmented Generation (RAG) architecture with IndicBERT embeddings to deliver accurate, context-aware answers in Telugu. This project is part of the Summer of AI 2025 Hackathon and aims to contribute to building open-source language models and tools for regional language AI.

A multilingual Streamlit app for collecting, displaying, and preserving regional proverbs across South Asia.