AI Image Auto-Correction Tool

I’m developing a lightweight AI utility whose sole job is to take an existing image and return a cleaner, sharper version of it—no generation of brand-new content, just smart, automated correction. The model must be able to do two things reliably:

• Remove visible blemishes, dust spots, scratches or other small imperfections without softening overall detail.
• Boost resolution and overall clarity so that portraits, landscapes and product shots all look crisper on high-resolution screens.

You may draw on whatever stack suits you best—PyTorch or TensorFlow for the model, OpenCV or PIL for the pre/post-processing, a simple Flask or FastAPI wrapper for inference—so long as the final solution is easy for me to install and run locally on a Linux box with a single GPU.

Deliverables
1. Training or fine-tuning script (with dataset instructions if open data is needed).
2. Inference script or API endpoint that accepts JPEG/PNG and outputs the corrected file.
3. Brief README covering environment setup, required libraries and typical run commands.
4. A sample before/after set that proves the blemish removal and up-scaling work on portrait, landscape and product photos.

Once I can feed in an image and get a visibly improved version in a single step, the job is done.