Gurugram Student Develops AI Wearable to Analyze Tennis Performance
Grade-12 national tennis player Priyansh Agarwal created TennEdge, an AI-driven motion-sensing system that tracks swing speed, accuracy, power and spin without altering racket balance.
While competing at the national level, Priyansh Agarwal realized that tennis players have limited access to objective performance data, unlike cricketers. Drawing on an internship at StanceBeam, he designed TennEdge, a motion-sensing wearable that captures swing speed, shot accuracy, power and spin and sends the metrics to a smartphone app over Bluetooth. To preserve racket feel, the sensors are housed in a lightweight wearable rather than the racket itself.
Agarwal also launched Skill Bridge, an initiative that connects students with hands-on technical training, reflecting his belief that classroom theory should translate into real-world projects. He hopes TennEdge will become a scalable product for young and recreational players, while Skill Bridge expands opportunities for technical skill development. The effort combines his roles as a student, sports captain and budding engineer.
Why it matters
It shows how a young innovator is bridging the gap between sports and affordable AI analytics for everyday players.
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