Our client approached us with a unique challenge: to create a product that utilized deep learning to predict sports card prices accurately. Additionally, they required a portfolio tracker for sports card enthusiasts. The objective was to provide a comprehensive platform that would assist users in making informed decisions about their sports card investments.
We adopted a multifaceted approach to meet the project's requirements:
Scraping: We developed daily bots to scrape data from a range of sports card auction sites, ensuring that our database was continually updated with the latest market information.
Deep Learning: Our team leveraged Python and AWS to implement cutting-edge deep learning models. These models analyzed historical sports card price trends and used this information to make accurate price predictions.
User Interface: We designed an intuitive user interface to provide users with easy access to the platform's features, including portfolio tracking and real-time market data.
The project resulted in a robust and user-friendly platform that met our client's objectives:
Users could track the prices of their sports card investments in real time.
The deep learning models consistently provided accurate price predictions, aiding users in making informed decisions.
The subscription-based model generated a steady stream of revenue for our client.
Case studies
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