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by aysemine • Uncategorized
An MCP-enabled web app and API for real-time crocodile conservation status prediction using machine learning.
Predict crocodile conservation status from biological features in real time.
Interact with a conservation prediction API via terminal using MCP and LLM integration.
A web-based interface to input crocodile data and receive conservation status predictions.
This MCP server powers a FastAPI backend that predicts the conservation status of crocodiles based on various biological features. It integrates with a Streamlit frontend for web UI and supports terminal-based interactions via MCP client with OpenAI GPT-4o for real-time predictions. The system leverages a trained ML model and Modular Control Protocol to enable structured, dynamic API access and LLM-driven terminal queries.