Projects with this topic
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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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SignBridge AI – Real-Time Sign Language Translation & Human Perception PlatformSignBridge AI is an advanced AI-powered human communication platform that translates sign language into text and speech in real time using computer vision, machine learning, and human pose analysis.
The system goes beyond traditional sign-language recognition by combining hand tracking, finger tracking, face analysis, body pose estimation, gesture understanding, and real-time AI inference to create a complete Human Perception Engine.
Core Features Real-Time Sign Language Translation Live webcam-based sign language recognition Converts gestures into readable text Converts translated text into speech Real-time inference pipeline Continuous gesture stream processing Advanced Hand Tracking 21-point hand landmark detection Single-hand and dual-hand tracking Finger position analysis Finger angle extraction Hand orientation estimation Dynamic gesture trajectory tracking Full Body Pose Analysis 33-point body landmark tracking Posture detection Motion analysis Human action recognition Gesture-body context understanding Face & Head Analysis Face landmark detection Head pose estimation Eye tracking Facial context understanding Face-hand interaction analysis AI Vision EngineThe platform integrates multiple computer vision modules:
Hand Detection Engine Body Pose Engine Face Tracking Engine Landmark Tracking Engine Gesture Recognition Engine Sign Language Translation Engine Speech Synthesis EngineUpdated -
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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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AI-powered career roadmap generator that creates personalized learning paths, skill requirements, timelines, and free learning resources for students, graduates, and career changers.
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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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AquaAlert — A civic water supply complaint management system for Hyderabad. Citizens can report issues, track complaints, and officers can manage resolutions via an admin dashboard.
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EcoSort AI is an offline-first, CPU-powered web application that transforms unstructured garbage images into structured waste intelligence. Using local AI inference, it identifies waste categories, generates structured JSON reports, and stores results in SQLite for analysis and retrieval. The system works without an internet connection, making it suitable for smart cities, municipalities, campuses, and remote environment
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Offline-first, CPU-first receipt and invoice OCR, local Qwen categorization, structured expense reporting, and JSON/CSV export.
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CPU-first offline Streamlit study assistant that extracts local study files, generates summaries, flashcards, and MCQs, and stores progress in SQLite under AGPL-3.0-or-later.
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Live Link: https://clinik-ten.vercel.app/
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LectureLens is a secure, localized, multi-modal ingestion pipeline that transforms raw educational assets into structured, high-retention study matrices. Built entirely on an offline-first philosophy, the system intercepts dense lecture audio streams and multi-page technical PDFs, running them through an isolated edge-computing layer to generate interactive flashcards, core concept maps, and dynamic glossaries without leaking sensitive user data to third-party cloud vectors.
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Our assistant addresses the challenge of navigating fragmented and massive match data from the IPL 2026 season. Currently, cricket fans and analysts struggle to extract specific match statistics or venue-specific performance metrics from raw CSV datasets without advanced data analysis tools.
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This project is an offline-first, CPU-only AI app that converts unstructured inputs like documents or images into clean structured data locally on the user’s device. It uses local OCR, small on-device models, and SQLite storage to extract key details, validate them, and help users quickly turn messy files into usable records without needing the internet.
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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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Student Study Planner is a Streamlit-based application that enables students to organize their studies efficiently through subject and task management, automated study planning, progress analytics, AI-powered study assistance, and English/Telugu language support.
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