Class 12 Student Measures Swing Speed With AI. Motion Data Beats Gut Feeling. Obviously.
Priyansh Agarwal, a national-level tennis player and Class 12 student at DPS Gurugram Sector 45, built TennEdge, an AI-powered motion-sensing system that captures swing speed, shot accuracy, power, and spin. He then founded Skill Bridge, an initiative giving students hands-on exposure to technology building, because apparently noticing a gap between theory and practice is still novel for some.
The underlying principle here is instrumentation: you cannot improve what you do not measure. TennEdge exemplifies a mechanism called quantitative feedback loops, where sensor data replaces subjective self-assessment. The student who builds the tool learns twice: once by constructing the system, once by consuming its outputs.
Priyansh Agarwal, a Class 12 student at DPS Gurugram Sector 45 and national-level tennis player, built TennEdge and subsequently launched Skill Bridge to address the gap between theoretical technology education and actual building experience.
- Open Google Forms on your phone and create a simple log with fields for activity, what went well, and what failed. This is your crude feedback loop.
- After any practice session, whether tennis or otherwise, record three specific observations using measurable terms like speed, count, or duration instead of vague feelings.
- Review your entries after one week and look for patterns. The data will reveal what your intuition missed. That is the entire point.