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Streamlit

✊ 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.

Project Description

Festival AI Assistant 🇮🇳🪔 is an AI-powered cultural assistant designed to provide detailed information about Indian festivals, with a special focus on the Telugu language. The application supports translation, text-to-speech (TTS), and AI-powered matching to help users easily learn about the origin, purpose, celebrations, and cultural aspects of various festivals.

✨ Key Features 🔍 Festival Search – Look up festivals from a structured dataset. 🌐 Telugu Translation – Automatic translation of festival details into Telugu. 🔊 Voice Output – Integrated Text-to-Speech (TTS) for audio playback. 🤖 AI Matching – Uses Sentence Transformers to find the closest matching festival from user input. 📊 Data-driven – Festival information sourced from a CSV dataset. 🖥️ Interfaces – Works via CLI and Streamlit GUI. 🛠️ Tech Stack Python 🐍 pandas (data handling) Sentence Transformers (semantic search) Google Translator API (translation to Telugu) gTTS (Google Text-to-Speech) (audio output) Streamlit (interactive UI) 🎯 Objective

To create an accessible, cultural AI assistant that:

Promotes awareness of Indian festivals. Supports local languages (starting with Telugu). Engages users with text + speech output.

🌟 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

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

We are building Lokkatha, a Streamlit web app hosted on Hugging Face Spaces, designed to collect and preserve Indian folk stories, proverbs, and short tales in users’ native languages.

Users can:

Write stories in languages like Hindi, Telugu, Tamil, and more.

Select the language of their submission.

Submit their story, which is saved to a centralized file for all contributions.

View a table of all collected stories, making it a collaborative cultural archive.

This project functions as a “mini crowdsourcing AI platform” to gather cultural knowledge. The collected data can later be used to train AI models for generating stories in local languages.

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

BhashaBridge Rural Voice Corpus Builder and Multilingual AI Translator - A comprehensive AI-powered solution for building voice corpora from rural communities and providing multilingual translation services. Features voice data collection, dialect processing, corpus management, and real-time translation capabilities to bridge language barriers in rural areas.

An open-source Streamlit chatbot app powered by Gemini API with multilingual support

Festive Memory Wall is an interactive web app that allows users to upload, share, and view festive memories in the form of photos and captions. It creates a collaborative wall of celebrations where everyone can contribute and cherish moments together.

Hey everyone here I,ve used streamlit along with langchain integrated with cohere api so that this application summarises the textual input given to it

Janavaani is a Streamlit-based portal where people can give voice complaints in their language, with location and media support, and admins can track and resolve them.

This Streamlit app is an All-in-One AI Assistant that uses Google's Gemini API to perform various tasks in one place. It provides an interactive, user-friendly interface for chatting, summarization, translation, and more — making it a versatile learning and productivity tool.

The Telugu States Landmark Identifier empowers people to contribute to a user-generated map of their surroundings by uploading:

📸 Images

📛 Name of the Landmark

📍 GPS Coordinates (Latitude & Longitude)

🗺 Nearby Places

📝 Description

Whether it's a hidden temple in a village, a scenic pond, or a famous town statue – this platform allows users to showcase the pride of their place.

MannMitra is an AI-powered, multilingual emotional poetry generator built with Streamlit. It allows users to select or type an emotion, choose a language (Telugu, Hindi, English), and instantly receive a beautiful, emotion-tailored poem. Perfect for expression, therapy, or creative inspiration.

GameGuru is an AI-powered chatbot application that provides information and insights about sports and eSports. It can answer user queries related to match details, player stats, historical records, and upcoming tournaments. It also supports eSports content, making it a versatile sports knowledge assistant.

🔹 Project Metadata Description

Name: Car Issues Diagnostic App Version: 1.0.0 Description: A Streamlit-based web application that helps users diagnose and understand common car issues using AI-powered insights. The app provides troubleshooting guidance, error code explanations, and step-by-step solutions for vehicle maintenance and repair.

Author: Your Name License: MIT (or any license you choose) Language: Python Framework: Streamlit Keywords / Tags: car diagnostics, automobile troubleshooting, AI, machine learning, Streamlit, Python, web app #Streamlit #Python #CarDiagnostics #Automobile #AI #MachineLearning #Troubleshooting #WebApp

Parampara AI is a Streamlit-based platform that helps preserve India's oral and cultural heritage by using AI to digitize spoken knowledge. From rural artisans to indigenous storytellers, users can upload audio in regional languages (like Telugu), and the platform will transcribe, translate, and summarize the content into structured, accessible digital formats.

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.

A Streamlit web app to explore vegetation types using AI and ML models, Built for SOAI 2025 Internship.