Sports Cards Grader

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  AI-Powered Sports Cards Grader

The sports card market is a vibrant and growing community, with collectors, buyers, and sellers actively participating in the trading of these valuable items.

However, the process of grading these cards, which is crucial for determining their market value, is fraught with inefficiencies, security issues, and a lack of transparency.

Our project aims to revolutionize this process by using advanced AI technologies to provide instant, accurate, and unbiased grading of sports cards directly to users. By simply uploading a photo or two of a sports card, users will receive an instant, detailed grading report.

One significant hurdle in developing this project was the quest for high-quality datasets essential for training our AI models. The specificity and diversity required to accurately identify, grade and appraise sports cards were not readily available in existing datasets, which were often limited in scope and lacked the detailed condition information necessary for our purposes. This led us to the intensive task of creating our own internal datasets -- a venture that required meticulous collection, cataloging, and annotation of thousands of sports card images. This foundational work laid the groundwork for a system capable of transforming the sports card grading process with a level of precision and insight previously unattainable.

Our solution not only enhances the trading experience for collectors but also introduces a new standard in sports card grading that promotes fairness and transparency.

This project has deepened our understanding of AI's potential to revolutionize traditional industries by introducing efficiency, transparency, and accessibility, paving the way for future innovations in the collectibles market and beyond.

Built With

• bedrock
• dynamodb
• ec2
• ecr
• ecs
• elasticache
• lambda
• mysql
• rds
• redis
• rekognition
• s3