Resume Automation

Inspiration

Applying for jobs is repetitive. Every application requires tailoring a resume and cover letter, which takes significant time. We wanted to build an AI-powered workflow that automates this process while keeping every application customized.

What it does

Resume Automation generates job-specific resumes and cover letters from a user's existing resume and a job description. The system analyzes job requirements, matches relevant experience, rewrites content, and produces application-ready documents with minimal manual work.

How we built it

Frontend for user interaction
Backend API for resume processing
AI workflow powered by GPT-5.6 for understanding job descriptions, rewriting resume content, and generating cover letters
Codex was used throughout development to generate boilerplate code, refactor components, debug issues, and accelerate implementation.

Challenges we ran into

Keeping generated resumes accurate without introducing false information.
Maintaining formatting across different resume templates.
Designing prompts that consistently produce concise and relevant content.

Accomplishments that we're proud of

Built an end-to-end resume automation workflow.
Reduced the manual effort required for each job application.
Successfully integrated AI into both development and the application's core functionality.

What we learned

We learned how to combine GPT-5.6 for intelligent document generation with Codex as an AI coding assistant to rapidly prototype and improve the project.