SQL-based EV battery health and charging abuse analytics system

Production-ready implementation of Marcel Krüger’s Helix-Light-Vortex (HLV) Theory for electric-vehicle battery management. Translates HLV’s dual physical–informational framework into real-time BMS middleware for health prediction, degradation awareness, and safe vehicle integration.

Machine Learning based EV Battery Health Prediction Dashboard using FastAPI, Streamlit, and Random Forest to estimate battery SOH, risk level, and maintenance recommendations.

IoT-based predictive EV battery safety monitoring system using Raspberry Pi and Thermal Stress Index (TSI).