Aseem Partap Singh Gill (ChemE 2T2 + PEY), an undergraduate student from the Department of Chemical Engineering & Applied Chemistry (ChemE) at the University of Toronto, has caught the attention of many with his innovative use of artificial intelligence (AI) in sports analytics.
Aseem recently posted on his LinkedIn profile about his personal project that uses AI to track and count every time a basketball player scores or misses a basket based on recorded footage, which could be thousands upon thousands of viewing hours. Currently, the NBA tracks each player’s scoring manually which leaves room for error. Aseem shared a clip of his AI system in action on LinkedIn, which showed that his AI model accurately records completed baskets.
His project showcases the potential of AI in the field of sports analytics, which has become increasingly important in professional sports in recent years. By analyzing vast amounts of data, AI can help coaches and teams make more informed decisions about game strategy, player performance, and scouting.
Aseem’s success also highlights the importance of interdisciplinary collaboration, as he was able to apply his skills in chemical engineering to a completely different field. His work is poised to make a significant impact in the world of sports analytics.
“ChemE sets you up for a diversity of career options. The problem-solving skills I’ve developed in ChemE are one of my biggest assets,” says Aseem who is currently completing his fourth-year and will be joining Professor Mohamad Moosavi’s Artificial Intelligence for Chemical Science (AI4ChemS) group as a PhD student this May. As part of Professor Moosavi’s team, Aseem will apply AI and deep learning to material discovery for sustainability.