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The project focuses on predicting electric vehicle (EV) battery health to enhance maintenance strategies, with a mission to accurately forecast State of Health (SoH) and Remaining Useful Life (RUL) using machine learning. Challenges include managing lithium-ion degradation and sensor data parsing. Techniques involve supervised, deep, and unsupervised learning, leveraging NASA data and advanced feature engineering. Results highlight improvements in precision and reliability through models like...