A dynamic Predictive Maintenance system that auto-detects dataset type and uses ANN for failure classification and LSTM for RUL forecasting. Optimized with Adam and Early Stopping, the project includes a Streamlit web interface for real-time model training and machine health predictions.
python machine-learning deep-neural-networks machine machine-learning-algorithms artificial-intelligence lstm accuracy artificial-neural-networks prediction-model mean-square-error optimization-techniques staticwebsites streamlit
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Updated
Dec 4, 2025 - Python