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Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Hosts SPARROW-Studio at /SPARROW-Studio. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, supporting different SOTA models for Bangla and also Multilingual (Arabic+Bengali) code mixed TTS pipeline.
AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.
LyricMind is an AI-powered cognitive firewall that analyzes song lyrics to protect against unconscious absorption of harmful content. Using customizable frameworks and LLMs, it detects risky patterns and integrates with music players to trigger protective actions when thresholds are exceeded.
A Flutter mobile app prototype assisting blind and low-vision (BLV) users with real-time scene understanding, text reading (OCR), and live analysis. Powered by a clean Python/FastAPI backend that leverages Google's Gemini AI models.
AgriIR: Configurable RAG framework for domain-specific knowledge retrieval in agriculture. Features 6-stage pipeline, deterministic citations, and domain-specific agents. ECIR'26.
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
ai builder creating agentic ui automation with amazon nova. building practical ai tools that reduce digital busywork and empower ngos, sustainability startups, and workforce returners.
Medical imaging diagnosis assistant that can detect diseases from X-rays, MRIs, and CT scans with expert-level accuracy - healthcare-focused computer vision.
BharatNet Sentinel AI is a software-only AI system designed to improve the reliability and utilization of India’s rural broadband infrastructure by enabling predictive maintenance and data-driven activation of underutilized Wi-Fi assets using existing network telemetry.
This project is an AI-powered pothole monitoring platform that detects road defects using YOLO, allows citizens to report issues, and provides administrators with a dashboard to track and resolve them. It combines computer vision, backend automation, and user interfaces to make road maintenance faster and smarter.