FIFA 22 Ultimate Team Recommender

This project uses Python beautifulSoup and requests to scrap FIFA player data from an open source website SoFIFA then fit unsupervised model to player statistics to setup a recommender (With UI) of players in FIFA22 given user inputs as constraints eg. budget, potential, attribute and etc in an automated pipeline manner.


Pollen Image Recognition

This project uses a convolutional neural network based library detectron2 (Wu et al. 2019) to recognize pollens from high resolution custom annotated pictures and further classify different species of pollen with deep learning approach.


Mock University Enrollment App

This project uses Python Flask and database mongoDB to mock university enrollment, and to experiment process of web development, interactions of front-end and back-end data from nonSQL database through RESTful API.

References

Wu, Yuxin, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. 2019. “Detectron2.” https://github.com/facebookresearch/detectron2.