JavaEE-job-recommend-system

This project uses Java Maven and Tomcat as backend Frameworks, uses vanilla HTML, Javascript and CSS for frontend designing. Applies session as user authentication, GitHub job and Geolocation API to find nearby jobs for users, monkeylearn API to extract keywords from job description together with TFIDF algorithms to do a job recommendation for users based on their likes. User information is stored on AWS RDS MySQL database instance. The whole project is deployed using AWS EC2 and Docker as the container.

Deployed on EC2 with Docker: http://35.175.64.170/jupiter/