BJJ Game finder

I leveraged my data science expertise to create a web application predicting optimal BJJ submissions based on body type. To build the model, I first collected data on successful submissions from ADCC tournaments using web scraping techniques. This data served as the foundation for training a decision tree algorithm. The decision tree analyses an individual's body type and recommends the most effective submission based on historical competition results. To make this tool accessible, I developed a user-friendly web app hosted on the AWS cloud platform. The application interacts with a PostgreSQL database, also hosted on AWS, which stores the collected BJJ data. This allows users to quickly receive personalized submission recommendations.