AI Resume Builder

What You Will Build

1. Input Form — Name, skills, projects, experience, education, summary
2. AI Enhancement — OpenAI API rewrites weak descriptions into strong, metric-driven bullet points
3. PDF Export — Beautiful, ATS-friendly PDF resume

Core Requirements

• User can input raw career data via a form
• AI rewrites descriptions using prompts (not just templates)
• Multiple resume templates to choose from (Modern, Minimal, Creative)
• Export as PDF
• Preview before download

Bonus Features

• ATS score checker (basic keyword matching)
• LinkedIn import (paste URL, scrape basics)
• Resume tips sidebar — "Your summary is too generic" etc.

Judging Criteria (100 Points)

Learning Outcomes

• Prompt engineering for structured output (JSON resume → formatted doc)
• PDF generation in Python
• Basic web form handling
• The difference between a "list" and a "story" on a resume

Starter Resources

• Template repo: [GitHub link TBD]
• Prompt guide: "How to make GPT-4 output structured JSON"
• PDF library comparison: Jinja2 + WeasyPrint vs. ReportLab

Mentor Office Hours

• Week 1 checkpoint: Form + basic PDF working
• Week 2 checkpoint: AI integration + polish

Post-Challenge

• Use this tool on your own resume
• Write a LinkedIn post: "I built an AI resume builder. Here is what I learned about resumes."
• Join Challenge 2: ATS Score Checker