A Machine Learning system to predict mining equipment failures before they happen. Built with XGBoost & Streamlit to minimize downtime and enhance safety.
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Updated
Feb 7, 2026 - Jupyter Notebook
A Machine Learning system to predict mining equipment failures before they happen. Built with XGBoost & Streamlit to minimize downtime and enhance safety.
AI-powered epidemiological forecasting system combining Random Forest and SIR modeling to predict global outbreak risks across 201 countries. Built for Codecure @ SPIRIT '26, IIT (BHU) Hackathon.
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