Sport Hack 2025 brought together innovators, engineers, athletes, and sports enthusiasts from across the globe in an immersive, high-energy environment dedicated to advancing the future of sports technology. Over the course of the hackathon, participants tackled challenges ranging from performance optimization and injury prevention to real-time analytics and fan engagement. The project provided participants with the opportunity to practically apply knowledge of mechatronics, robotics, electronics and artificial intelligence in creating real prototypes.

 

Within this vibrant ecosystem, SmartMove emerged as a flagship project. Led by Ujjawal “Lucian” Malani, with key contributions from Ravi Joshi, SmartMove is a next-generation performance-enhancement and movement-analysis system. Designed to capture precise biomechanical data in real time, it leverages a network of IMUs, microcontrollers, and AI-driven analytics to provide athletes and coaches with actionable insights into technique, posture, and efficiency. SmartMove bridges the gap between expensive laboratory-grade equipment and practical, on-field applications, making elite-level sports analytics accessible and scalable.

 

The project utilized a modular hardware architecture and a flexible software ecosystem to allow real-time feedback, adaptive training recommendations, and cloud-ready analytics, demonstrating both immediate usability and long-term potential for sports organizations. During Sport Hack 2025, SmartMove not only showcased its technical capabilities but also exemplified the spirit of innovation, teamwork, and forward-thinking that defines the hackathon. Ultimately, SmartMove was awarded first prize, which included a cash prize of €1000 and €3000 worth of workload hot desk membership, recognizing the project’s excellence, innovation, and practical impact.

 

Sport Hack 2025 demonstrated that mechatronics and robotics expertise are essential for future sports innovations. SmartMove is a great example of how engineering, creativity and technology can push the boundaries of possible solutions in a year.