AI-Powered Resume ATS Optimizer
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Project Overview
Build a web app where users upload a PDF resume and paste a job description. The backend uses NLP and an LLM API to extract keywords, compare them, and generate a score and improvement suggestions.
Real World Use Case
Job seekers uploading their resume and a job description to get instant feedback on missing keywords.
Steps to Build
Build a React frontend with a file upload component.
Create a Python/FastAPI backend to receive the PDF.
Use PyPDF2 to extract text from the resume.
Send the resume text and job description to the OpenAI/Anthropic API with a specific prompt.
Format the JSON response and display the score and suggestions on the frontend.
Resume Impact
Highly relevant to recruiters. Demonstrates integration of modern AI models into a functional web application.
Skills Learned
- NLP
- LLM Integration
- Prompt Engineering
- Full Stack
Ready to build?
Complete the project and earn your free certificate.