Golf scoring and analysis system for player development

A golf scoring and analysis system for player development, the system comprising:

• a physical player scorecard configured to record hole-by-hole scoring data and key metrics related to a player's round of golf, the scorecard including sections for capturing information about distances, ball lies and conditions, shot outcomes, and putting characteristics;
• a mobile application executable on a user computing device, the mobile application configured to capture an image of the scorecard and transmit the image for data extraction and analysis;
• a cloud storage service configured to temporarily store the captured image of the scorecard;
• an image extraction API, deployed on a cloud-based server, configured to receive the image from the cloud storage service and call an AI engine to extract scorecard data from the image;
• the AI engine, comprising an OCR and image processing module, configured to:
• process the image by performing at least one of an image enhancement, a noise reduction, and a perspective correction;
• analyze the processed image to identify one or more sections of the scoreboard;
• convert the extracted scorecard data using the analysis into a structured format within an application database;
• and
• extract user notes in the scorecard to store in a NoSQL database;
• and
• the application database, comprising the NOSQL database for general data that comprises the user notes and the SQL database for the extracted scorecard data, the database configured to store player scoring data, analytics, and community interactions,
• wherein the AI engine is further configured to:
• analyse the scorecard data using a scoring model comprising one or more machine learning algorithms trained on historical performance data, the scoring model being applied to compute performance metrics, including driving distance, fairways hit, greens in regulation, strokes gained, and putting accuracy;
• and
• generate personalized insights and recommendations for training drills and skill improvement based on the computed performance metrics and the extracted scorecard data, the recommendations comprising drills, exercises, and practice routines tailored to identified weaknesses or strengths, and
• wherein the mobile application is further configured to present analytics and performance metrics to the player in an interactive manner and display the personalized insights and recommendations.