Golf Ball Scanning App 1

Golf Ball Scanning App

Scan My Golf Ball is an AI based mobile app that helps golfers improve their game by suggesting the balls that match their game skills. Using AI based text and image scanning, the app can identify a golf ball’s make and model, help suggest playability of the ball based on the damage and tell the user how the ball matches their skills.

App Overview

Scan My Golf Ball app helps users improve their game by quickly and effortlessly identifying ball brand and model, get personalized fitting recommendations of the scanned ball and get detailed ball insights to make an informed decision.

Using a questionnaire about the skills of a golfer, Scan My Golf Ball app can suggest the right golf ball to help the user improve their game. Ball details such as cover type, layer count, compression, green stopping spin and swing speed are used in an advanced algorithm to suggest the right ball that matches the player’s skills.

Scan My Golf Ball app employs a Fuzzy Matching algorithm to increase ball brand and model accuracy. The app has an extensive database of golf balls that also allows the users to manually find a make and model that matches their skill level.

Scan My Golf Ball app also analyzes the level of damage on the ball, like scuff, dent, chip, etc., and provides the playing condition of the ball.

The app maintains all the history of the scans, suggestions and playability so that the users can easily keep track of all the balls they use and see their skills grow over time.

Our Work Includes

  • AI-based ball make and model detection using state of the art text and logo detection.

  • Advanced algorithm to suggest the right ball to improve the user’s game.

  • Allow a new ball suggestion which is not found in the app’s database of balls.

  • Intuitive interface to manage all the scanned and recommended balls.

  • Admin Panel to provide detailed analysis of the app usage, like trends of balls being scanned and used, analyze new ball suggestions and help validate the users’ damage rating for the AI model to be trained properly.

Features Include

  • AI based golf ball scanning to identify the brand, model and damage of the ball.

  • User’s skill level identification using a detailed questionnaire.

  • Suggest golf balls based on the user’s skill level to help improve a user’s skills, with different levels of match like Good, Bad or Average fit.

  • Preserve a history of scanned and suggested balls, along with their playability based on damage.

     

Technologies Used

  • ReactNative, Firebase, Nest.js, MySQL, React JS
  • AI: ML Kit, Tensorflow, FiftyOne, Python
  • Android: Kotlin
  • iOS: Objective C, Swift

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