Team TerraNova: Predicting Deforestation Risks Using Python & AI
Egmont Overture Finale oleh Kevin MacLeod dilisensikan berdasarkan lisensi Creative Commons Attribution 4.0. https://creativecommons.org/licenses/...
What happens before a single tree is cut down? 🌲
Meet Team TerraNova! In this video, we present our Python-powered project: The Endangered Species Ecological Path & Logging-Risk Explorer. Built using Python, VSCode, and PyCharm, our simulation tool bridges the gap between field data and immediate, actionable environmental protection.
🛠️ Our Tech Stack & Features:
Data Integration: Live species occurrences fetched from the GBIF API and predator/prey relationships from the GloBI API.
Terrain Intelligence: Uses the OpenTopography API to build a tile-based friction-weighted cost grid from real elevation data.
Smart Pathfinding: Implements custom bounded_djikstra using HEAPQ alongside local greedy step selection for advanced multi-agent behavioral modeling.
AI Insights: Features integrated Gemini AI processing to translate complex telemetry into clear policy recommendations.
"Better data today means a living planet tomorrow." 🌎
Let us know what you think in the comments! 👇
#Python #DataScience #AI #Conservation #Programming #TeamTerraNova
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