Week 4 - individual contributions.

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 This week, I introduced idea 7 – the AI Vehicle Manager & Charging Station Planner, evolving my previous parking and charging station concepts into a more intelligent, user-focused solution.


The problem it addresses is simple but widespread: EV and hybrid drivers struggle with trip planning due to battery range uncertainty and charger availability. Our solution allows users to add their vehicle details—make, model, battery size, and efficiency—and then complete a few short test drives to collect performance data. These calibration runs teach the system how the specific vehicle performs under real conditions, accounting for driving style, speed, and terrain. Using this learned data, the AI predicts range more accurately than standard manufacturer ratings.


When planning a trip, users enter their starting charge or fuel level and destination. The system calculates whether the trip is possible, and if not, it automatically identifies optimal charging or refuelling stops based on location, charging speed, and distance. It uses mapping APIs and charging databases to find the best balance between route efficiency and trip duration. All of this happens without connecting to the vehicle itself—the intelligence comes from the user’s data and the AI’s calculations.


This idea stands out because it’s realistic, technically achievable, and directly solves a fast-growing problem in the EV market. I also support idea 4 (AI Customer Service Quality Checker) for its strong business analytics value. Regardless of which project we select, my focus will be on designing a modern, map-based user interface that presents complex data clearly and intuitively.

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