For many electric vehicle (EV) owners, the health of their car's battery is a black box. They are often unaware of its "life stage," potential issues, or how their charging habits might be affecting its long-term health. This lack of transparency can lead to anxiety about battery degradation and an inability to make informed decisions about charging. Moreover, with different car models having unique battery chemistries and optimal charging requirements, a one-size-fits-all approach to charging is inefficient and potentially harmful to the battery over time.

In this project, the challenge is to design a system where the charger itself becomes a smart, proactive mentor for the car's battery. How can we transform EV charging process from a simple power transaction into a valuable service that provides owners with real-time insights into their car's battery health and offers personalised charging advice? How can the charging data be analysed to create a battery health score or a life stage assessment for individual cars? What specific charging patterns might indicate early signs of battery degradation or other issues? Based on the car model, current battery state, and environmental factors, what kind of actionable advice could a charger provide to the car owner?

Your team will be given access to an extensive, real-world charging database that includes detailed data on charging events to play around with.