This project focuses on predicting NYC taxi trip durations 🚖🗽 using machine learning techniques. By analyzing factors such as pickup and drop-off locations, timestamps, and traffic conditions, it aims to provide accurate duration estimates to enhance rider and driver experiences in New York City.

This project demonstrates an automated CI/CD pipeline on AWS for deploying a React static website to an EC2 instance using Docker. It integrates AWS CodeBuild to build the Docker image from GitHub, with credentials stored securely in AWS Systems Manager, and automates deployment through AWS CodePipeline and CodeDeploy.