3) Who are the characters or people in the main story?
There are sample images of different people provided by Dr. Yoshua Bengio of the University of Montreal. Which contains images of faces of people in different angles and we have 15 points on the face. There are three points for each eye, two for each eyebrow, one for tip of the nose and 4 for lips. After that we have used our team images for testing and detecting facial points
4) What problem happened to them?
Due to the ongoing pandemic people are not allowed to go out for having fun and lot of them are going to social media platforms to make videos and take photos that will have filters on them where they can relax their mind and also have fun.
5) Where did the problem take place?
Problem is taking place everywhere in the world as the pandemic has started you can see many new applications are there in the market which help people to make videos and take photos with filter on, like Snapchat and Instagram.
6) Why?
As per latest news, TikTok is getting banned in USA which is most common for adding filters in videos. Also to add filter based on user face using keypoints,
7) How?
If you would like, you can add a dimension of how. How did it happen? Sometimes, the answer to how can be covered by what, when and where.
8) What new aspect your team is adding to the Kaggle challenge (Please be very specific and clearly explain what you are trying to add to the Kaggle Challenge)