Swing Buddy: Predictive AI for precision club fitting




Data simulated for demo use only
What we built: Turning performance data into smarter golf decisions
A global leader in golf equipment and performance technology with specialized tracking systems that generate rich performance data. Yet much of that information remains underutilized.
Swing Buddy transforms complex swing metrics into intelligent, consistent recommendations that enhance both fitter expertise and player experience.
The challenge: Too much data, not enough actionable insight
TrackMan and similar systems provide detailed swing analytics.
However:
Data volume makes manual analysis difficult.
Recommendations vary between fitters.
Consistency and precision are critical for premium equipment decisions.
The opportunity:
Leverage AI to augment human expertise with predictive intelligence.
The solution: An intelligent assistant for fitter decision-making
Swing Buddy:
Processes TrackMan metrics in real time.
Identifies profile similarities using kNN.
Applies LightGBM for high-performance predictive modeling.
Generates a visual summary of the selected set from SureFit data.
The hybrid model delivers speed, scalability, and accuracy.
Human expertise + real data = smarter fitting.
Key accomplishments: Faster service, stronger precision, richer data
The solution enables:
More consistent and data-backed recommendations.
Faster fitting sessions.
Improved player experience.
Strategic insights for product development.
The path toward an expanded MVP would deepen predictive capabilities and reinforce AI-assisted fitting as a competitive differentiator.
It doesn’t replace the fitter, but it definitely empowers them.
The team
Gastón Campos
Developer
Juan Livingston
Developer
Sergio Cárdenas
Developer
James Chirinos
Developer
Alejandro Díaz
Mentor / Developer
Patricio Gesualdi
Developer
Walter Sánchez
Manager
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