Description
To prevent users from uploading fake photos, edited images, or duplicate screenshots to manipulate vendor ratings, this issue proposes an AI Fraud Detection module.
We will build a detector on the backend analyzing image statistics, and check for artificial color saturation edits (e.g. painting gills redder). The API will return warning flags, and the UI will alert users and flag suspicious scans.
Technical Implementation Details
- Tampering Detection: Detect artificial color enhancement by comparing red-channel color margins.
- Duplicate Check: Match duplicate scans to block trust score manipulation.
- UI Warning Banner: Display a warning banner on the dashboard if fraud is suspected.
Description
To prevent users from uploading fake photos, edited images, or duplicate screenshots to manipulate vendor ratings, this issue proposes an AI Fraud Detection module.
We will build a detector on the backend analyzing image statistics, and check for artificial color saturation edits (e.g. painting gills redder). The API will return warning flags, and the UI will alert users and flag suspicious scans.
Technical Implementation Details