corpus

Utsav Kathalu is a web application built with Streamlit for collecting and organizing festival stories in multiple Indian languages. Users can submit stories as text, attach images for each section, and view the content as an interactive virtual book. The platform aims to preserve and present cultural narratives in a structured and user-friendly format.

Mana Ruchulu is a Telugu-language recipe sharing and discovery platform built using Streamlit. It allows users to:

Create an account and log in securely

Upload recipes with text, images, videos, or audio instructions

View and interact with other users’ recipes

Participate in weekly cooking challenges

Post short-lived “stories” about their cooking experiences

Compete on a leaderboard based on points earned from contributions

The project supports both SQLite and Supabase backends, making it deployable on platforms like Hugging Face Spaces while being scalable for production use.

Its design emphasizes Telugu cultural heritage by supporting native script and traditional dish categorization.

Telugu Farmer Assistant is a free, AI-powered platform for farmers in Telangana and Andhra Pradesh. It provides crop disease diagnosis, soil-based crop planning, and real-time weather updates — all in Telugu language, with an offline-first design for accessibility.

The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.

The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.

A family recipe sharing app built with Python for managing and sharing recipes across family members.

A Telugu Proverbs Chatbot built with Streamlit and SQLite to explore and preserve traditional Telugu Proverbs.

An AI-powered, open-source Streamlit application for preserving Indian culture and diversity through multi-media corpus collection with persistent data storage and secure authentication

Basha Kahani

Basha Kahani is a storytelling web application that allows users to create, share, and explore short stories in an engaging and user-friendly way.

🔹 Features:

Add and publish your own stories.

View stories shared by other users.

Interactive UI with smooth navigation.

Built with modern web technologies for performance and scalability.

🔹 Tech Stack:

Frontend: React.js (with TailwindCSS for styling)

Backend (if applicable): Node.js / Express.js (or API integration)

Database (if applicable): MongoDB / Firebase / JSON-based storage

🔹 Project Goals: The main goal of this project is to provide a creative platform where users can express themselves through stories. It is designed to be simple, lightweight, and easy to use, while also serving as a learning project to practice React, component-based design, and UI/UX development.

Desi Proverbs & Local Lore Collector is a lightweight, mobile-friendly Streamlit app to collect Indian proverbs, folk sayings, and cultural facts across languages. It auto-detects language, stores structured metadata (language, region, tags), and exports a clean corpus for research and cultural preservation. Built for low-bandwidth users, deployable on Hugging Face Spaces, and designed with an offline-first approach.

Gamanam — A Python Streamlit web application for sharing and exploring festivals, art, dance, and music. Users can create posts, view submissions from others, and interact with a cultural community. The app uses a SQLite database to store posts and user data.

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.

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.

"SahayaSoochi is a Streamlit-based AI assistant that generates All types of letters in Telugu and English from user text/voice input."

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

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

AI-powered offline-first Streamlit application for collecting corpus data (audio, video, image+caption, and text) in 11 Indian languages for SOAI 2025.

Jeevitham (meaning Life in Telugu) is a community-driven initiative aimed at building sustainable digital tools that address real-world social, environmental, and livelihood challenges. The project focuses on empowering people with open-source solutions that can be adapted for local needs.

🌱 Vision

To create technology that enhances human life, respects cultural diversity, and ensures sustainability for future generations.

🎯 Objectives

Develop open-source applications that promote sustainability and well-being.

Preserve and integrate local knowledge systems with modern digital platforms.

Provide tools for data collection, visualization, and decision-making in communities.

Encourage collaboration among students, developers, and citizens for social impact.

🔑 Features (example directions — adapt as per your actual files)

📊 Data Logger & Analyzer – record and analyze data (health, environment, livelihood).

🌍 Localization – tools and content in local languages (Telugu + others).

🗂 Templates for Collaboration – pre-built templates for issue tracking and merge requests.

💡 Extensible Design – easy to add new features based on community needs.

🛠️ Tech Stack

Frontend: HTML, CSS, JavaScript (React optional)

Backend: Python / Node.js (based on module)

Database: SQLite / PostgreSQL

Version Control: Git + GitLab

🚀 How to Contribute

Fork the repository.

Create a feature branch.

Add your contributions.

Submit a merge request with the provided template.

📜 License

This project is licensed under AGPLv3 to ensure openness and community benefit.