predictive-maintenance-scheduling

Predictive maintenance and quality control system for manufacturing. Uses sensor data and computer vision to predict equipment failures, optimize production lines, and detect product defects in real-time.

An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)

[System Analysis & Design Project] An end-to-end MIS for moving walkway installation—covering customer scheduling, site survey logs, inventory control, project tracking, and IoT sensor maintenance.