Machine Learning

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

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.

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.

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

Telugu Farmer Assistant is a free, AI-powered platform for farmers in Telangana and Andhra Pradesh. It provides crop disease diagnosis, soil-based crop planning, and real-time weather updates — all in Telugu language, with an offline-first design for accessibility.

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

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

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

A cryptocurrency price prediction system using LSTM neural networks. Groups coins by market dynamics and forecasts future prices for investors and traders.

🎬 Telugu Movie Review Sentiment Analysis using Machine Learning and Flask. Classifies Telugu movie reviews into Positive, Negative, or Neutral. Built as part of the Swecha Internship program for Telugu NLP.

SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch

Doc Bot – AI Doctor Assistant is an interactive chatbot that provides doctor-style suggestions based on user-described symptoms. Built with Streamlit for a responsive and user-friendly interface, it integrates with the Dify.ai API to generate natural language responses. This project was developed as part of an internship at Swecha Telangana.

⚠️ Disclaimer: Doc Bot is for educational and informational purposes only and does not provide professional medical advice.

CampusMate Chatbot is a smart virtual assistant designed to support students, faculty, and campus visitors. It helps users with quick access to academic information, campus services, schedules, events, and FAQs. Built with AI and integrated into a user-friendly Streamlit interface, CampusMate provides instant, reliable, and personalized responses—making campus life more efficient and engaging.

A streamlit web application to collect, share, and display stories related to various cultural festivals

A Streamlit-based music library application that allows users to browse, search, and stream audio tracks according to thier mood and also it is an otp sign in thing where it is integrated with swecha apis. Built with Python and Streamlit, designed for fast deployment.

An AI Chat Assistant project built in Python as part of Summer of AI 2025 Internship. Uses Machine Learning (Naive Bayes with Bag of Words) for intent classification.

AI Voice Generator: Converts text to natural-sounding speech using AI models.

name: civicvoice-ai-app description: AI-powered civic engagement tool that summarizes public input and highlights actionable insights for governments. tags:

civic-tech NLP public-engagement AI default_branch: main visibility: public license: AGPL-3.0-only

AI-MOCK-INTERVIEW is an advanced, AI-powered platform designed to help job seekers practice and enhance their interview skills through realistic mock interviews. The platform leverages AI technologies, including natural language processing (NLP), machine learning, and computer vision, to simulate technical and behavioral interviews tailored to the user’s experience level and job role. It features dynamic question generation, real-time performance evaluation, speech and video analysis for verbal and non-verbal feedback, and detailed actionable insights to boost candidate confidence and readiness. Built with modern frameworks and tools, this project offers a scalable and interactive approach to preparation, suitable for candidates at various career stages.

A simple chatbot built using Hugging Face and Streamlit that answers user queries about Indian temples. The app provides cultural, historical, and architectural insights in a conversational format.