Gold Card Advisor

September 28, 2023

Assignment

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.

Scope

  • Web-Based Platform
  • Data Scraping
  • Real-Time Updates
  • Deep Learning Algorithms
  • User-Friendly Design
  • Subscription-Based Model
  • Approach

    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.

    Technologies

    Outcome

    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.

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    We have had the opportunity to develop cutting-edge websites and software for esteemed clients. Whether it's a startup or a Fortune 500 company, every solution produced by our AI, automation, and machine learning services is meticulously crafted to align with our clients' objectives.

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