Projects with this topic
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Offline-first, CPU-first AI reader companion that narrates and analyzes stories locally using Ollama and structured feedback JSON.
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Smart Cab Finder is an AI-powered ride comparison platform that helps users compare fares, estimated arrival times, and ride options across multiple cab providers. The application includes an intelligent AI assistant for ride recommendations, supports Bring Your Own Key (BYOK) integrations, and is designed to support local AI inference through Ollama. To improve accessibility, the platform provides multilingual support in English, Hindi, and Telugu. Built using Python and Flask, the project follows secure development practices with automated testing, CI/CD pipelines, security scanning, and compliance-driven documentation.
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Offline-first meeting transcriber using whisper.cpp and Qwen2.5 — fully local CPU inference, no cloud APIs, no GPU required.
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DriverOS is an AI-powered driver assistance and safety platform designed for commercial drivers, truck drivers, delivery partners, and fleet operators across India. The platform focuses on driver safety, health monitoring, emergency response, trip management, document storage, and real-time support services.
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NyayaBloom is an AI-powered Judicial Intelligence Platform designed to democratize legal knowledge and improve judicial transparency across India. The platform enables citizens, lawyers, law students, researchers, journalists, and judicial professionals to access legal information, understand judicial processes, explore case precedents, and improve legal literacy through a multilingual AI-powered ecosystem. Instead of replacing judges, courts, or legal professionals, NyayaBloom serves as an intelligent legal knowledge assistant that simplifies legal information and promotes informed civic participation.
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Patta Checker is an offline-first AI web application that extracts structured information from scanned land records such as 7/12 extracts, Pattas, and Record of Rights (ROR) documents. It uses local OCR and a lightweight Ollama-powered LLM to convert unstructured documents into editable, exportable datasets, while storing records securely in a local SQLite database. Optimized for CPU-only devices, it runs without internet or external API dependencies.
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SafeRoute AI is a machine-learning-powered road safety platform that predicts accident blackspots, analyzes route risk, and recommends safer travel routes using FastAPI, Next.js, SQLite, and XGBoost.
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A Streamlit and AI-powered web application for creating Telugu memes and collecting linguistic corpus data
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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.
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AI-powered exploration and visualization of ancient Indian texts using NLP and image colorization.
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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 -
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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Chitra Vani is an AI-driven platform for generating and managing images and media content using intuitive interfaces and automated tools.
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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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🎬 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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Project Description An AI-powered Healthcare LLM designed to assist visually impaired (blind) individuals. The system provides accessible medical guidance through natural language processing, voice interaction, and context-aware support. This project aims to enhance healthcare accessibility, improve independence, and empower blind users by bridging the gap between medical knowledge and inclusivity.
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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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