[Step 1] User accesses Upload Form

[Step 2] Image sent to Flask Backend

[Step 3] Saves image to temp storage

[Step 4] Triggers AquaVision Pipeline

[Step 5] Image passed to core module

[Step 6] Preprocessing

[Step 7] EfficientNet classification

[Step 8] SwinIR image enhancement

[Step 9] Output image saved

[Step 10] SSIM & PSNR evaluation

[Step 11] Flask receives results

[Step 12] Frontend displays results