Projects with this topic
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Offline, CPU-first AI that transforms unstructured documents into structured, searchable data using local language models.
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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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ClauseGuard is an AI-powered offline legal document analyzer that detects risks, simplifies contracts, and protects user privacy.
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HealthCamp OS: A multi-tenant platform for NGOs and doctors to manage health camps. Features Gemini AI triage, volunteer management, and responsive impact reporting.
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Offline-first lecture transcription and structured study data extraction CLI/PWA.
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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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StoryMirror CLI is a CPU-first command-line application that transforms unstructured stories into meaningful insights through local AI processing. It provides story analysis, multilingual text-to-speech (TTS), runtime performance metrics, and customizable terminal themes, all while running on a local FastAPI backend.
Designed for offline and resource-efficient environments, StoryMirror performs inference on the CPU without requiring a dedicated GPU, making it suitable for developers, students, and writers who need an accessible AI-powered storytelling tool.
Key Features📖 Analyze stories from text or files🎙️ Generate multilingual text-to-speech narration🎨 Customize the CLI with multiple themes📊 Monitor CPU usage, memory, and inference performance⚡ Run entirely on a local FastAPI backend💻 CPU-first design with no GPU dependency🌐 Supports offline or local deployment🚀 Simple command-line interface for quick workflowsUpdated -
AgriDoc is a CPU-first, offline-first web app that helps India's farmers digitize and manage their critical agricultural documents — Pattadar Passbooks, Adangal records, PM-KISAN certificates, Rythu Bandhu slips, and more.
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Local AI: Offline Meeting Intelligence System is a CPU-optimized, offline-first application that transforms unstructured meeting audio recordings into structured and actionable data. Using Faster-Whisper for local speech transcription and Qwen2.5 GGUF via llama.cpp for information extraction, the system converts audio files into structured JSON containing meeting summaries, topics, action items, and next steps. All processing is performed entirely on the user's device without internet access or GPU acceleration, with results stored locally using SQLite and displayed through an interactive Streamlit dashboard.
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StreetCheck is an application for road and civic safety, a per-road-segment score based entirely on public verifiable,non-sensitive data for the swecha hackathon
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ZenShe – Women's Safety & Emergency Assistance Platform*
ZenShe is a women-centric safety application designed to provide quick access to emergency assistance during critical situations. The platform enables users to register trusted emergency contacts, share their live location, and trigger SOS alerts when they feel unsafe.
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AI-powered open-source repository onboarding assistant that analyzes GitHub repositories and provides onboarding guidance using Gemini and Ollama.
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Khetika — A multilingual AI-powered farming assistant that helps Indian farmers diagnose crop diseases, plan weekly tasks, and get instant advice in their native language.
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Local Streamlit RAG research assistant for querying uploaded and preloaded documents with Ollama, LangChain, and ChromaDB.
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🚀 VidyaVaani - Revolutionary AI-Powered Teacher's Assistant for Regional SchoolsVidyaVaani is a cutting-edge, production-ready AI education platform that democratizes artificial intelligence for India's diverse linguistic landscape. Built with enterprise-grade architecture and powered by state-of-the-art open-source AI models, this platform bridges the digital divide by bringing advanced AI capabilities to government and rural schools.
🌟 Key Features: • Multilingual AI Excellence: Native support for 12+ Indic languages (Hindi, Telugu, Tamil, Kannada, Bengali, Marathi, Gujarati, Punjabi, Odia, Malayalam, Assamese) • Open Source AI Engine: Integration with Ollama, Gemma, Llama, and Mistral models for unlimited, cost-free AI processing • Smart Document Processing: AI-powered text extraction from PDFs, images, and documents • Dynamic Content Generation: Automated creation of quizzes, explanations, translations, and Q&A sessions • Voice-First Interface: Voice commands and TTS in regional languages • Production-Ready Architecture: Docker, Redis caching, Celery task queuingTechnical Stack: • Frontend: Streamlit with modern UI/UX • Backend: Flask REST API with JWT authentication • AI Integration: Local AI models via Ollama with cloud fallbacks • Database: SQLAlchemy with SQLite • DevOps: Docker Compose, production scripts, CI/CD templates
🎯 Impact & Vision: Empowers millions of teachers across India with AI co-pilots that understand their cultural and linguistic context. VidyaVaani is a revolution in educational technology that makes AI accessible, affordable, and culturally relevant for every Indian classroom.🔬 Research & Innovation: Perfect for AI education research, multilingual model development, and educational technology innovation. Open-source architecture enables community contributions.Built with
❤ ️ for India's educational excellence by the Swecha community.Updated