As part of my portfolio, I developed an ATS Resume Evaluator leveraging cutting-edge AI technology. The tool integrates AWS Bedrock and the Llama 3 foundational model to provide users with actionable feedback and suggestions for optimizing their resumes. With a focus on aligning CVs to specific job descriptions, the system offers tailored insights to improve keyword usage, formatting, and content alignment.

To ensure scalability and fast processing times, I designed the application to run on AWS Bedrock, allowing the system to handle high traffic efficiently. I deployed the solution on an AWS EC2 instance combined with an Nginx web server to serve the Vercel frontend over HTTPS. SSL certificates were integrated to maintain secure connections, and Gunicorn was implemented to handle concurrent user requests, ensuring high uptime and seamless performance.

The result is a powerful, user-friendly tool that helps job seekers refine their resumes for better compatibility with Applicant Tracking Systems (ATS) and improves their chances of landing interviews.

You can explore the live demo here: https://ats-evaluator-frontend.vercel.app/