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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. 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.
SPARROW — Solar-Powered Acoustic and Remote Recording Observation Watch. An AI-enabled edge device for biodiversity monitoring with camera-trap imaging and bioacoustic recording. By Microsoft AI for Good Lab.
MegaDetector V6 — Microsoft AI for Good Lab's open-source model that detects animals, people, and vehicles in camera-trap images, filtering blanks to speed wildlife research.
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.
PyTorch-Wildlife — The Microsoft collaborative deep learning framework for conservation. Multi-task computer vision and bioacoustic models for camera-trap detection, species classification, and biodiversity monitoring. Maintained by Microsoft AI for Good Lab.
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.