📦🐍 Mapping deforestation risk following JNR methodology
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Updated
Jul 12, 2024 - Python
📦🐍 Mapping deforestation risk following JNR methodology
A dataset of 5500 recordings in Kenyan forest ecosystems for the Curbing Illegal Logging using Sound-based Detection Techniques project. Funding acknowledgment: Climate Change AI 2023 Innnovation Grants
An end-to-end AIoT digital twin for forest conservation. Features a robust MLE pipeline with automated ETL, ResNet-18 audio classification, headless A/B testing simulation, and a serverless Streamlit dashboard for real-time acoustic anomaly detection.
National Parks & Wildlife Sanctuary in Forest Conservation- A Responsive Website
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