We developed a Spring Boot backend API to manage scheduling logic, a React.js frontend for intuitive user interaction, and a PostgreSQL database for data management. Our AI scheduling engine was built in Python, using scikit-learn for prediction models and pandas for data analysis. We containerized the app with Docker and deployed it on AWS EC2 for scalability and reliability.
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