Implement AI for automatic filtering of user-submitted location photos.

Hello, Waze team!
I would like to suggest implementing an artificial intelligence-based solution to improve the quality of user-submitted location photos before they reach WME (Waze Map Editor).
I don't know the statistics for other countries, but currently in Brazil, around 95% of images are rejected by editors for being of poor quality (blurry, poorly framed, dark, with people and license plates, or irrelevant). This volume of rejections consumes volunteers' time and compromises the efficiency of map editing.
My proposal is for the system to use AI to automatically screen images, identifying and discarding those that don't meet minimum quality and privacy policy criteria (such as sharpness, lighting, framing, and relevance). This would significantly reduce editors' rework and ensure that only useful photos are forwarded to WME.
This approach is already used on other platforms and could be adapted to the Waze ecosystem with excellent results. The community would greatly appreciate this progress!

Thank you for your attention and for the incredible work you do!