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python

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.

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.

A creative Telugu dream journaling web app that allows users to write, rewrite, tag, and share dreams in poetic or story formats.

మన ఆటలు (Mana Aatalu) - A Digital Treasury of Indian Childhood Games మన ఆటలు (Mana Aatalu) is a community-driven web application designed to document, preserve, and celebrate the traditional childhood games of India. In a world where digital entertainment is taking over, we are creating a digital treasury to ensure these vital parts of our cultural heritage are not forgotten.

SmartScan Attend is a real-time, intelligent classroom attendance solution built with Streamlit, SQLite, and Python. Designed specifically for educational institutions, this system minimizes manual work for faculty and ensures accurate, secure attendance collection using IP-restricted QR code verification.

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

MindMate is an open-source AI-powered assistant designed to support mental wellness through empathetic and non-judgmental conversations. Built on Hugging Face Chat Assistants with meta-llama/Llama-3-70B-Instruct as the base model, it provides mindfulness suggestions, stress management tips, and gentle motivational prompts. The goal of MindMate is to create a safe, conversational space where users can find support for stress, anxiety, and emotional challenges, while maintaining privacy and open-source transparency.

BakBak-Bot

BakBak-Bot is an advanced conversational AI assistant built for linguistic research, machine learning training, and digital archiving purposes. The bot leverages natural language processing (NLP) to understand and respond to user queries in multiple languages, making it an ideal tool for researchers, educators, and developers working on language technologies.

Key Features Multi-language Support: Communicate in various languages Intelligent Conversations: Context-aware responses using NLP Research-Oriented: Designed for linguistic analysis and data collection Digital Archiving: Store and retrieve conversation data efficiently Extensible Architecture: Easy to customize and extend functionality

A stylish Python + Streamlit chatbot with gradient avatars, multiple moods (Friendly, Formal, Sassy), and basic Q&A support. Perfect for beginners to explore interactive AI chat UIs.