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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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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AI-powered legal document analyzer for India. Upload any contract or agreement — LegalLens finds hidden clauses, checks against 73 Indian laws, and explains everything in plain language.
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CivicEye AI is a civic issue reporting and citizen engagement platform that helps users report public problems through AI-assisted workflows, location tracking, and community-driven issue monitoring.
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GroundWork is a personal productivity and self-improvement dashboard that helps developers track their daily habits, decisions, and growth. It combines a daily log, habit tracker, decision journal, Git activity monitor (GitPulse), and weekly digest into a single unified interface — giving you a structured way to reflect, plan, and stay consistent over time.
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offline-first, AI-powered FIR draft assistant. Uses local LLMs (Ollama) and on-device OCR to ecurely extract structured data from sensitive complaint documents without the cloud.
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Offline Investigation Intelligence Platform
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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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Smriti is an AI-powered heritage exploration platform that brings Telangana's monuments, history, culture, and tourist destinations to life through intelligent storytelling and immersive digital experiences. The platform preserves cultural heritage by combining artificial intelligence, interactive experiences, and historical insights to help users discover the stories behind every monument and place.
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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 -
MeetingMind is an offline-first, CPU-first AI meeting assistant that turns raw meeting transcripts into structured summaries (agenda, attendees, decisions, action items, deadlines, open questions, notes), built with React 19 + Vite + TypeScript on the frontend and Python Flask + SQLite on the backend. It runs entirely locally without cloud LLM APIs, using a modular AIAdapter that currently mocks responses but is designed for drop-in llama.cpp integration (for summarization) and whisper.cpp (for offline audio transcription), so it works on consumer CPUs with full data privacy and no internet dependency.
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Smart Food Finder is a preference-based restaurant recommendation platform that helps users discover nearby dining options using their location, budget, cuisine preferences, and dining style.
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AI-powered decision simulation platform — multi-expert adversarial debate with real-time streaming, structured scoring, and AI-synthesised verdicts. Built for the Swecha Internship Hackathon.
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WaterWatch is a water quality complaint reporting platform built for the Swecha hackathon
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The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.
The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.
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