Billiard data visualization and analysis (react website and flask)

• Main Author: Wong, Celine Si Lin
• Other Authors: Cheng Long
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/154902
• Institution: Nanyang Technological University

With the rapid growth of information technology, analyzing sports data shows a growing trend. Hundreds of millions of sports data are generated each day from millions of schools, various events, and communities. These data can provide valuable information and insight that can help a variety of sports organizations in a range of areas such as: Helping Teams Win, Driving Customer Engagement, Benefiting The Broader Ecosystem, Improving Back-Office Intelligence, and Expanding Partnerships. In fact, The market for sports analytics is expected to reach almost $4 billion by 2022 . There are some sports however that are rarely analyzed due to a variety of reasons such as insufficient data collection. Billiards is one of the said sports that is not analyzed adequately. The objectives of this project then are to collect Billiard data, visualize the data and analyze it through an existing machine learning model.