Class 12 Builds TennEdge. Coaches Everywhere Should Feel Embarrassed.
Priyansh Agarwal, a Class XII student and national-level tennis player in Gurugram, built TennEdge, an AI-powered motion-sensing system for analyzing swing speed, accuracy, power, and spin. He drew on his coursework in Physics, Chemistry, Mathematics, and Computer Science. The question he asked: what exactly happened during a shot.
The principle here is athlete-driven instrument design. When the person holding the racquet also builds the sensor, the measurement gap collapses. The reader's lesson: domain expertise plus consumer AI tooling closes the gap between problem and solution faster than traditional vendor cycles. The mechanism is experiential engineering, where the user's pain defines the product spec. A teenager built what companies stall in committees.
Priyansh Agarwal, a Gurugram Class XII student competing nationally in tennis, developed TennEdge using his background in Physics, Chemistry, Mathematics, and Computer Science.
- Record a short video of yourself performing a tennis swing or any repetitive athletic motion using your smartphone's default camera.
- Upload the clip to a free AI motion analysis tool such as Kinematic or SportsMech, which detects joint angles and swing speed from video.
- Review the generated metrics across three repetitions and identify which variable, speed or angle, changes when you deliberately adjust your technique. Expect measurable numbers that reveal what your body does versus what you think it does.