Streamlit

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.

A community hub for Telugu language enthusiasts to discuss phrases, share stories, and solve riddles, with AI assistance.

Exploring Our Heritage Local Lore & Proverb Collector is a web application built with React, TypeScript, and Tailwind CSS. It enables users to contribute, preserve, and explore regional proverbs, stories, and cultural wisdom. Designed for low-bandwidth environments, it supports offline data submission and is deployed on Hugging Face Spaces to promote cultural heritage globally.

A community-driven digital cookbook to preserve and share India's diverse culinary heritage.

An AI powered career assistant to help in resume building and interview preparation.

Festival Log – A Cultural Corpus Collection Engine

Festival Log is an open-source, AI-powered Streamlit application designed to document and preserve the rich festival traditions of India. Users can submit cultural information, stories, and personal experiences related to festivals in their local language. The app automatically translates each entry into Telugu using open-source AI models and displays all entries in a collective log. It is optimized for low-bandwidth areas, supports multilingual input, and contributes to building a parallel corpus for Indian language AI research.

Shiksha Translator is a Streamlit app designed to translate educational content across multiple languages to bridge the language gap in education.

ManaTranslator is a language corpus data collection app that translates text from any language into Telugu. It facilitates the creation of a multilingual–Telugu parallel corpus by collecting input text in various languages alongside their Telugu translations. This dataset can be leveraged for linguistic research, natural language processing (NLP) tasks, and AI model training.

DarshanAI is a Streamlit-based AI assistant that helps devotees, NRIs, and spiritual seekers explore Hindu temples, rituals, mantras, and cultural traditions. It uses NLP to answer questions, preserve heritage, and provide personalized guidance.

An AI Medical Diagnosis Assistant that identifies potential conditions based on user-reported symptoms and provides follow-up questions, treatment suggestions, and medical advices.

RuchiSanchari is a community recipe sharing platform where users can submit, view, and explore traditional recipes with photos.

A Streamlit app for preserving cultural knowledge through user submissions in Telugu and English. Built with ❤️ for Swecha SoAI 2025.

A collection of Streamlit-based dashboards for visualizing weather, sales, accidents, and stock market data. Built for data analytics and education purposes.

The Meme Generator is an interactive web application that leverages the power of AI to generate witty captions and customize memes. Using OpenAI's GPT-3 model, the app creates engaging, humorous captions for a variety of popular meme templates or user-uploaded images. The app also features multilingual support, enabling users to translate captions into multiple Indian languages, making it ideal for a diverse, global audience.

📘 Syllabus Sakhi AI – Open-Source AI Assistant for Competitive Exams Syllabus Sakhi AI is an open-source bilingual assistant designed to help competitive exam aspirants—especially Telugu-speaking learners—explore and understand the complete syllabus of various Central and State government exams in India.

🎯 Purpose & Target Audience The assistant was created with the needs of rural and regional-language learners in mind, especially those:

Preparing for UPSC, SSC, RRB, APPSC, TSPSC, TET, DSC and other government exams.

Struggling with English-dominated resources.

Seeking structured, topic-wise syllabus coverage in Telugu or English.

Supported exams include:

UPSC Civil Services (CSE)

SSC CGL, CHSL, MTS, CPO

RRB NTPC, Group D

AP TET, DSC, APPSC Groups 1–4

TS TET, DSC, TSPSC Groups 1–4

🔑 Key Features 🗣️ Bilingual Support: Telugu (default), English, or mixed bilingual responses.

📚 Comprehensive Coverage: 19 exams with Prelims/Mains + section-level syllabus.

📄 Structured Knowledge Base: Markdown files with detailed topic lists & weightage.

🔍 Hybrid Search: Combines keyword + semantic retrieval for improved accuracy.

🌐 Language Selector: UI lets users pick TELUGU or ENGLISH on startup.

⚠️ Graceful Fallbacks: Handles missing syllabus gracefully with polite error responses.

This project aims to make syllabus navigation simple, accessible, and local-language friendly, empowering more students to prepare confidently for government jobs.