RAPID DESIGN ITERATION

PINNeAPPle | Use Case

Upload a STL file, train a model on the backend (PINNeAPPle), and run inference to visualize a physical field (e.g., temperature) directly on the mesh.

Pipeline
Idle
Tip: first Upload. Then Train (generates baseline + trains). Finally Run Inference to download a vertex-colored PLY and visualize it here.
Select an .stl file to start.
Expected Backend: Flask on http://localhost:8000 with routes /api/upload, /api/train, /api/infer, /api/result/<job_id>.
Viewer
Field
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