Overview of My Submission

filterd is a concept of a company that offers an API to help detect and tag potentially offensive content in images, using AI.

A sample use case would be to automate content moderation on blogs / forums / others websites where end-users are allowed to put up images.

The submission includes customer sign-up, authentication, API key issuance, and an API endpoint for annotating customers' images.

On annotating an image with the API, the customer gets a "suggestion" to express accept or decline posting the image on their website. If the analysis is inconclusive, they're nudged to manually review the image.

All data is stored in MongoDB Atlas.

Submission Category:

Choose Your Own Adventure

Link to Code

Additional Resources / Info

The project uses Cloud Vision, MongoDB Atlas and a PHP backend.

Screenshots