florentPoux/point-cloud-processing — reverse-engineered prompt

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Build me a beginner friendly Python learning project for processing 3D point cloud data from scratch. I want it to feel like a guided tutorial, with notebooks and simple scripts that someone can open and follow without a complicated install process.

The project should show how to load point cloud files, inspect the data, visualize it in 3D, clean or filter points, do basic measurements, split or segment parts of the cloud, and create simple mesh style outputs when possible. Use common Python tools like NumPy, Open3D, LasPy, and Matplotlib, but explain each step in plain language so a researcher or student can understand what is happening.

Please include a clear README, a place for sample data, reusable code, notebooks, and helpful resources. Make it work well for someone using a normal computer, and optionally make it easy to run with Google Drive or an online notebook. Look up current docs online if you need to.

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