Meet Priyansh Agarwal, Class 12 student who built AI to analyse his tennis game
Class 12 student and national-level tennis player Priyansh Agarwal developed TennEdge, an AI-powered motion-sensing system designed to help tennis players analyse swing speed, accuracy, power and spin. Inspired by his experience in competitive tennis and sports technology, he explored wearable sensors to collect performance data without affecting racket balance. The project also led to Skill…
Priyansh Agarwal, a Class 12 student and national-level tennis player, developed an AI-powered motion-sensing system called TennEdge to help tennis players analyze their performance. The technology captures aspects of a player's movement, such as swing speed, accuracy, power, and spin, and transmits the data to a companion application via Bluetooth.
Agarwal's background in sports technology and motion analytics, gained during an internship at StanceBeam, inspired him to create a solution for tennis players who often lack objective, data-driven feedback. TennEdge addresses the challenge of adding technology to a racket without altering its feel during play by integrating the sensing technology into a wearable form.
The project also led Agarwal to question the limited opportunities students have to apply their technical skills, which contributed to the creation of another initiative, Skill Bridge.
Brief written by urgent.news from Times of India's own syndicated text. Machine-written — may contain errors; check the original before relying on it.
