Task Completed: System Interface Design

With the core model in place, the next step was to make the system accessible to end-users. A basic yet functional user interface was developed to allow image uploads and verification.

Key Features Implemented:

Image Upload Functionality: Users can upload images through the interface.
Model Integration: Uploaded images are processed and passed to the trained model for classification (Real or Fake).
Result Display: Classification result is displayed along with a confidence score.
Backend: Implemented using Flask (Python micro web framework).
Frontend: Simple HTML/CSS interface for usability and quick testing.

This interface can serve as a prototype for future deployment in a web application or forensic software.