SQL-based EV battery health and charging abuse analytics system
Intelligent real-time thermal telemetry and thermal runaway mitigation dashboard for electric vehicles.
MambaRUL Studio (BatteryOS) — scientific battery RUL/SoH prediction platform. Mamba SSM + conformal intervals, FastAPI backend, React frontend, Electron AppImages, Helm deploy.
Battery second-life grading, RUL prediction, and AI material passport for EV batteries — ET AutoTech Hackathon 2026, Theme 5: AI for Circular Economy.
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.
Machine Learning based EV Battery Health Prediction Dashboard using FastAPI, Streamlit, and Random Forest to estimate battery SOH, risk level, and maintenance recommendations.
Research-style project documentation for EV Li-ion battery State of Health estimation using XGBoost and LightGBM.
Estimates a lithium-ion cell's internal core temperature in real time from signals a BMS already measures — no extra sensors. PyTorch + FastAPI + Electron. ET AutoTech Hackathon 2026.
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