swecha

The English-to-Telugu Translator is a web-based application that allows users to easily translate text from English into Telugu. It leverages advanced language processing techniques to provide accurate and context-aware translations, helping users understand and communicate in Telugu more effectively.

Key Features:

Translate English text into Telugu instantly. User-friendly interface for easy input and output. Supports short phrases as well as long paragraphs. Can be extended to include text-to-speech for Telugu translations. Useful for students, professionals, and anyone learning Telugu.

Technology Stack:

Frontend: HTML, CSS, JavaScript (or Streamlit/Gradio for a simple UI) Backend: Python with translation libraries or APIs (e.g., Google Translate API, Indic NLP library) Optional: Speech synthesis for reading translated text aloud

Use Case: This tool can help language learners, travelers, or professionals who need quick and reliable English-to-Telugu translations, making communication more effective and accessible.

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.

Local Proverbs Collector is an open-source, AI-powered application that helps preserve and celebrate traditional Indian proverbs across multiple languages and dialects. The app allows users to contribute proverbs through text or voice, automatically transcribing speech, translating into other languages, and optionally reading them aloud using Text-to-Speech.Optimized for rural and low-connectivity areas, it supports offline-friendly usage, light/dark mode, and a gamified experience with leaderboards, streaks, and voting.All data is stored in structured JSON format for easy research, analysis, and integration into AI language models ensuring India’s oral heritage is preserved for future generations.

Project Description An AI-powered Healthcare LLM designed to assist visually impaired (blind) individuals. The system provides accessible medical guidance through natural language processing, voice interaction, and context-aware support. This project aims to enhance healthcare accessibility, improve independence, and empower blind users by bridging the gap between medical knowledge and inclusivity.

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.

AI Voice Generator: Converts text to natural-sounding speech using AI models.

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

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