I understand that you need a system that can detect fake media, including images, videos, and audio recordings, and provide detailed reports explaining how and if it was fake. Additionally, the system should be able to perform web scraping to detect instances of the inputted media online and produce a report listing where the media has been posted.
To accomplish this, I will design a one-user internal web tool with a user-friendly interface for uploading media and viewing reports. The system will be secure and include robust authentication and authorization mechanisms to ensure that the system is not accessed by unauthorized users. To detect sophisticated forms of media manipulation, the system will use advanced techniques such as metadata analysis, OCR for text extraction, and audio fingerprinting to identify unique audio signals.
As for the user interface, I will create a login system and the ability to create different "cases" to upload media types for analysis. After the analysis is done, it will use a word template to create a cover letter (including name, case number, date, etc.) with the complete file that details if the media is real or faked (deepfake) and why/how. In extreme detail, this can be multiple layers that are shown with scientific explanations. When a case is done and closed in the "application," it is presented as a downloadable zip link to the admin. This zip is stored for a maximum of seven days on the server before being deleted.