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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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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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 -
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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AI-powered study assistant — chat with your notes or take a quiz. Runs locally with Ollama. Free, offline, no API key needed.
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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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