===Brief summary
Wikimedia Commons is an online repository of free-use images, sounds, other media, and JSON files. Anyone can upload media to the Commons portal. The uploads are moderated by members and volunteers of the foundation manually. This project aims to build a classifier that can flag NSFW images/media for review.
Upon successful completion of this internship, the intern would have designed, implemented and tested a machine learning model that would be able to classify image and video media as SFW or NSFW with a high accuracy. They would also be given the chance to deploy the model to WIkimedia test and production servers. Further, they would build a data processing pipeline and an API for the model.
Since this is a scratch project, applicants are required to do some research initially. A basic comparison of the existing NSFW classifiers along with their computational requirements is required. All applicants are expected to read various research papers, and draw comparisons between them.
They are expected to come up with a report detailing their research, the various options that can be used to implement the model and what they are proposing to do if they are selected. This report should also detail implementational methods and procedures.
===Skills required
Tensorflow / PyTorch for model creation
Flask / Django / FastAPI for the API
===Possible mentor(s)
@Abbasidaniyal @Chtnnh
===Microtasks