AI Based Smart Boot Space Management System

The boot space is often an overlooked part of a vehicle, representing a missed opportunity for efficiency and convenience. Boot space of a car, remains underutilized due to the lack of automation and intelligent planning. Firstly, the inability to fulfil the optimal utilization of available space leads to inefficient packing, often resulting in wasted room and compromised comfort during travel. Secondly, the absence of a smart planner of luggage causes the problem, especially when coordinating luggage from multiple passengers or pick-up points. This lack of coordination not only impedes efficient space allocation but also prolongs the loading process, causing delays and inconvenience. The technical implementation of the project involves hardware, software, and machine learning principles. Hardware components such as raspberry pi, force sensors, and camera module will form the backbone of the system. On the software side, a cloud-based Android Auto application will facilitate communication between the vehicle and a centralized server, where the machine learning model resides. This model will continuously analyze incoming data, learning from past experiences to generate optimized packing plans. Finally, user interfaces on the vehicle's infotainment system through the Android auto application provides smart access to the system, allowing passengers to input their luggage details and receive real-time packing recommendations.