python

An open-source, modular public transport routing engine built with Python 3.13+. It abstracts external transit APIs behind a resilient service layer to compute efficient multi-modal routes with integrated caching and strict compliance.

Smart city intelligence and tourism platform for Hyderabad built with Streamlit, FastAPI, and AI-powered civic services.

Civic Problem Prioritization AI is an intelligent complaint management platform that helps urban local bodies and citizens collaboratively identify and address city infrastructure issues. It leverages AI-powered categorization to automatically classify civic complaints, maps them geospatially using OpenStreetMap, and prioritizes them based on urgency, frequency, and impact — enabling faster, data-driven decision-making for city administrators in resolving real-world urban problems.

https://hydrolink-iota.vercel.app/

AI-powered scam detection for Indian citizens — multilingual, free, and instant.

The Tax Transparency Tracker is an AI-powered web app that helps Indian citizens see exactly how their income tax is being spent by the government. Users can simply enter their income to get a personalized breakdown of their contributions across key sectors and track local government-funded projects on an interactive map. It features a Gemini-powered, multilingual chatbot that answers complex budget questions in plain English, Hindi, or Telugu. Additionally, the platform uses machine learning to actively monitor public data and automatically flag suspicious activities like overspending or stalled projects. Ultimately, it turns dense, 500-page budget documents into clear, accessible insights to promote civic accountability.

An AI-powered bilingual assistant helping citizens discover government welfare schemes they're eligible for and draft RTI requests. Uses RAG with Google Generative AI, voice input, and real-time eligibility checking for Telangana and India-wide schemes.

NyayaSetu is an AI-powered Citizen Rights and Civic Governance Assistant that helps users understand laws, civic services, RTI procedures, and government schemes using Retrieval-Augmented Generation.

A fully local Retrieval-Augmented Generation (RAG) chatbot built using Streamlit, Ollama, ChromaDB, and open-source LLMs like Qwen and Llama.

JalRakshak – Smart Water Leak Reporting System

JalRakshak is an AI-powered civic technology platform designed to help citizens report water leaks, pipeline damages, and water wastage incidents in real time. The system enables users to submit reports with location details, images, and descriptions, while helping authorities efficiently monitor, prioritize, and resolve water-related issues.

The platform incorporates intelligent features such as duplicate report detection, location-based issue mapping, automated prioritization, and analytics dashboards to improve response efficiency and reduce water loss. By creating a direct communication channel between citizens and municipal authorities, JalRakshak promotes community participation in water conservation and urban infrastructure management.

Key Features:

Real-time water leak and wastage reporting GPS-based location tracking and mapping Image upload and issue documentation Duplicate report detection and merging Priority-based issue management Administrative dashboard for monitoring and resolution Analytics and reporting for decision-making Secure, scalable, and open-source architecture

JalRakshak aims to support sustainable water management, enhance civic engagement, and assist local governments in addressing water infrastructure problems quickly and effectively.

GalliSwad is a robust street food discovery platform built with FastAPI and React.

A Python-based toolkit to interact with GitLab APIs. gitlab-utils streamlines GitLab workflows by offering tools to track and summarize contributions, Automate merge request pipelines, Generate issue reports and activity logs and Ensure development standards and reproducibility across projects.

A real-time YouTube live chat analyzer with sentiment analysis and user engagement tracking. Built with Python, Streamlit, and Supabase.

A Python-based tool to track LinkedIn posts for a specific hashtag, perform sentiment analysis on the content, and visualize the results.

The BharatVerse project is an open-source platform dedicated to preserving India's cultural heritage digitally. It enables communities to record and share folk traditions, stories, and art using AI for transcription and translation in Telugu

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.

Farmin.AI is an AI-powered assistant designed to help farmers with intelligent crop advisory, disease detection using image analysis, and farm record management. Built with a user-friendly Streamlit interface, it simplifies agricultural decision-making using modern technologies like machine learning, natural language processing, and data-driven insights. Ideal for small to medium-scale farmers aiming to boost productivity and sustainability.

A Streamlit and AI-powered web application for creating Telugu memes and collecting linguistic corpus data

AI Chat Assistant is a conversational platform built using Streamlit, designed to integrate multiple Large Language Models (LLMs) such as Ollama (local hosting), OpenAI, and Google Gemini. The system provides a flexible interface for seamless interaction across different models while supporting customization through fine-tuned domain-specific datasets. Its architecture emphasizes scalability, multilingual support (including Indic languages), and accessibility, making it suitable for both personal productivity and enterprise use.

The AI Chat Assistant is a modern web-based conversational AI application built with Streamlit and powered by Google's Gemini 2.0 Flash model, delivering intelligent conversations through an intuitive interface. This interactive chatbot features real-time AI responses, session-based chat history management, and smart query handling for predefined responses about the creator and assistant identity. Built with Python 3.8+ and utilizing Google's Generative AI SDK, the application offers a responsive design that works seamlessly across all devices while maintaining clean code architecture with comprehensive error handling. Users can quickly get started by installing dependencies from requirements.txt, configuring their Google AI API key, and running the application with a simple streamlit command. The project includes extensive documentation covering technical implementation, contribution guidelines, and follows Python best practices under the GNU Affero General Public License v3.0, making it both a functional AI chat tool and a solid foundation for advanced conversational AI implementations.