HackSMU elephant-call denoising and bioacoustic ML toolkit for the iMasons AI & ML for Nature challenge
End-to-end ML pipeline for camera trap species identification — MegaDetector filtering, fine-tuned ResNet50 (0.906 F1), FastAPI + ONNX serving, live geospatial dashboard
AI-Powered Environmental Monitoring System for detecting deforestation, poaching, and environmental hazards
Raspberry Pi bird-call monitoring with BirdNET-Go machine-learning ID, e-mail alerts, audio review files, and safe cloud uploads.
This tool helps engineer and conservationists streamline their data collection process, reducing the time spent on manual image processing and annotation.
Top Biodiversity Management 🌟 Star if you like it! 🌟
Engineered a computer vision pipeline for real-time object detection in infrared media. Fine-tuned a YOLOv12 model to classify 17 species of wildlife, reaching 88.3% mAP. Built a user-friendly frontend with Streamlit, enabling seamless interaction with the model for both image and video-based detection..
Cloudflare Worker bridge from BirdNET-Go detection webhooks to EarthRanger events with audio attachments
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