AI

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

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

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.

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.

This project is a real-time voice translator web application built with Streamlit. It captures live speech input via microphone, recognizes the spoken text using speech recognition, translates it to a selected target language via machine translation, and plays back the translated audio using text-to-speech synthesis. The app supports multiple languages, provides start/stop controls for continuous conversation flows, displays original and translated text, allows editing of transcriptions, and enables exporting of recordings and analysis. It aims to facilitate accessible, multilingual communication and contribute to language corpora for research purposes.

LokKala is a lightweight, open-source Streamlit web app for collecting folk stories, proverbs, and meme captions in Indian languages. It works offline and contributes to building culturally diverse AI datasets for the viswam.ai mission.

HealthLink AI is an intelligent health assistance web application designed to provide quick, reliable, and AI-driven health information. Built using Streamlit and powered by Google’s Gemini API, the platform allows users to describe symptoms, ask about medications, and even upload medical images for analysis. It offers personalized first-aid guidance, medicine usage details, and preliminary insights from image-based diagnostics—all in a user-friendly interface. While not a replacement for professional care, HealthLink AI serves as an accessible first step for individuals seeking health-related answers online.

AI-powered exploration and visualization of ancient Indian texts using NLP and image colorization.

AI/ML-based tool that predicts the likelihood of diabetes using medical parameters such as glucose, BMI, age, and blood pressure.

An open-source AI assistant designed by Nandini Golla using Hugging Face. ShaktiAI helps girls and students by providing friendly guidance, motivation, and emotional support through natural conversation.

AI-powered platform for collecting and analyzing multilingual cultural narratives from global communities, built with Streamlit and Python.

An AI-powered assistant designed for medical camps that streamlines patient appointment booking and schedule management while simultaneously preserving Telugu culture and heritage. Built with Streamlit frontend, FastAPI backend, and Gemini API, the app enables healthcare efficiency and cultural data collection, creating a digital archive of proverbs, traditions, and stories.

AI Chat Assistant built using Flask and Hugging Face Transformers. Provides a responsive web interface with real-time AI-powered chat and session management.

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

MitraBot – Student & Community Corpus Assistant. Helps students manage timetables, exams, notes, and community contributions (proverbs, recipes, stories).

An open-source, AI-powered application for preserving and sharing Telugu proverbs and their meanings. Built with Streamlit, it allows users to crowdsource proverbs, view a public gallery of sayings, and uses an AI model for automated classification of proverbs by theme.

A community-driven Streamlit application for collecting a corpus of Telugu cultural data, with a focus on food and culinary heritage.