Master Your Game.

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Industries
Machine Learning,
Mobile Applications
Tech Stack

The Problem

A New Spin on a Classic

Golf Daddy aimed to create a revolutionary mobile application that could analyze golf swings using video capture and provide accurate flight path estimations for golf balls, even without the presence of an actual ball. The app needed to include custom courses and leverage machine learning to deliver precise swing analysis.

The Demski Group developed the Golf Daddy mobile application using Unity and a comprehensive tech stack to integrate machine learning capabilities and custom features. The app was designed to track the user’s swing through video, analyze it using a machine learning model, and estimate the golf ball’s flight path.

Our Solution

High-Quality, Custom Applications

We developed a machine learning AI model using Python to analyze video footage of the user’s golf swing. The model tracked multiple points and performed complex calculations to estimate the golf ball’s flight path, even without an actual ball. The app integrated video capture functionality using Unity, allowing users to record their golf swings, and ensured high-quality video processing to provide accurate data for the AI model.

To enhance user experience, we included custom-designed golf courses within the app, allowing users to practice their swings on various virtual courses. The app was developed using React Native to ensure compatibility with both iOS and Android devices, and we implemented React.js for the front-end interface to create a responsive and user-friendly design.

For backend development, we used Node.js and TypeScript to manage user data, video uploads, and course information, ensuring secure and efficient data handling to support the app’s functionality.

sportsman

The Results

Our Clients are our Priority

Accurate Swing Analysis: The machine learning model provided precise analysis of users’ golf swings and estimated flight paths, enhancing their training and performance.

Enhanced User Experience: The inclusion of custom courses and a user-friendly interface made the app engaging and easy to use.

Cross-Platform Compatibility: The app’s compatibility with both iOS and Android devices expanded its reach and accessibility.

Conclusion

The Demski Group successfully delivered an innovative mobile application for Golf Daddy, leveraging machine learning and advanced video processing to provide detailed golf swing analysis. This project highlights our ability to integrate cutting-edge technology into mobile applications to deliver impactful solutions for the sports industry.

This case study demonstrates The Demski Group’s capability to create advanced sports technology applications, combining machine learning, video processing, and custom features to enhance user experience and performance.

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