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.

LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.

An interactive educational game built for the Google Gemma 3n Impact Challenge.

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.

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.

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.

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.

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

Cross Lingual Language models for making search engines for Holy Quran and Sahih Hadiths

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.

Repository for the paper "Deciphering Environmental Air Pollution with Large Scale City Data", IJCAI 2022

MegaDetector-Overhead — The Microsoft open-source AI for overhead wildlife detection. Point-based detection model for aerial and drone imagery, identifying wildlife from above. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.

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.

AI for Good Specialisation by DeepLearning.ai

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.

🤝 SignLanguage Dataset Hub — Curated collection of sign language datasets for ML research. Covers ASL, BSL & more. Built for accessibility & inclusion.

🧘 MindWell — Free mental health support platform. Mood tracking, self-assessment quizzes, guided mindfulness exercises & therapeutic tools. Open-source & private.

🧠 Stroke detection using CNN-based medical image analysis — deep learning for healthcare