Machine Learning
Projects with this topic
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A fully local Retrieval-Augmented Generation (RAG) chatbot built using Streamlit, Ollama, ChromaDB, and open-source LLMs like Qwen and Llama.
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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.
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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.
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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.
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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 functionalityUpdated -
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.
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AI/ML-based tool that predicts the likelihood of diabetes using medical parameters such as glucose, BMI, age, and blood pressure.
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AI-powered platform for collecting and analyzing multilingual cultural narratives from global communities, built with Streamlit and Python.
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A family recipe sharing app built with Python for managing and sharing recipes across family members.
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A cryptocurrency price prediction system using LSTM neural networks. Groups coins by market dynamics and forecasts future prices for investors and traders.
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🎬 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.Updated -
SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch
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Basha Kahani
Basha Kahani is a storytelling web application that allows users to create, share, and explore short stories in an engaging and user-friendly way.
🔹 Features:Add and publish your own stories.
View stories shared by other users.
Interactive UI with smooth navigation.
Built with modern web technologies for performance and scalability.
🔹 Tech Stack:Frontend: React.js (with TailwindCSS for styling)
Backend (if applicable): Node.js / Express.js (or API integration)
Database (if applicable): MongoDB / Firebase / JSON-based storage
🔹 Project Goals: The main goal of this project is to provide a creative platform where users can express themselves through stories. It is designed to be simple, lightweight, and easy to use, while also serving as a learning project to practice React, component-based design, and UI/UX development.Updated -
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.Updated -
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.
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A streamlit web application to collect, share, and display stories related to various cultural festivals
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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.
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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.
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AI Voice Generator: Converts text to natural-sounding speech using AI models.
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Ruchulu Lens AI
Ruchulu Lens AI is a cross-platform AI-powered application that celebrates India's regional food diversity. The app offers:
Regional Food Explorer – Shows local dishes based on user location, revealing region-specific ingredients, cooking styles, and preparation. Lens Feature (Food Recognition) – Users can upload or capture an image of a dish, and the AI will it and provide ingredients, recipe steps, and cultural context. AI Culinary Assistant – Interactive assistant to answer cooking-related questions, suggest dietary plans, offer substitutions, and guide users through cooking.Updated