SQL-based EV battery health and charging abuse analytics system
IoT-based predictive EV battery safety monitoring system using Raspberry Pi and Thermal Stress Index (TSI).
Production‑grade implementation of Marcel Krüger’s Helix‑Light‑Vortex (HLV) Theory for EV battery intelligence. Real‑time dual‑state modeling delivers predictive health, degradation awareness, torque/regen optimization, and safe multi‑vehicle integration through hardened BMS middleware.
Research-style project documentation for EV Li-ion battery State of Health estimation using XGBoost and LightGBM.
Machine Learning based EV Battery Health Prediction Dashboard using FastAPI, Streamlit, and Random Forest to estimate battery SOH, risk level, and maintenance recommendations.
Intelligent real-time thermal telemetry and thermal runaway mitigation dashboard for electric vehicles.
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