Gautamgiri798/Vision-Based-Cargo-Load-Optimization ? reverse-engineered prompt

Build me a Python app that can take a folder of product images and figure out the best way to load those items into a cargo container.

I want it to read the images, estimate each item’s dimensions, and then use a smart packing approach to place everything as efficiently as possible. It should automatically adjust the container size if needed, try to keep space usage high, and avoid overlaps or collisions.

Please also add a simple 3D visualization so I can see how the cargo is arranged inside the container after it runs. It should be easy to point the app at an input image folder and then launch it from a single script.

If anything in the current setup is unclear, check the existing files and look up current docs online if you need to.