AI Resume Analyzer

• Upload a resume as PDF or paste plain text
• Paste any job description for comparison
• TF-IDF cosine similarity match score (0–100%)
• Missing skills and keyword gap analysis
• Actionable written feedback based on score
• Single-page interface with interactive feedback display

Follow these steps in order. Each one builds on the previous.

1. Step 1

   Run the server and verify the upload form renders

2. Step 2

   Complete extract_text_from_pdf() using PyPDF2

3. Step 3

   Complete clean_text() to normalise punctuation and whitespace

4. Step 4

   Complete extract_keywords() to remove stopwords and count frequency

5. Step 5

   Complete calculate_similarity() with TF-IDF and cosine distance

6. Step 6

   Complete find_missing_skills() by comparing two keyword sets

7. Step 7

   Complete generate_feedback() to produce written suggestions

8. Step 8

   Wire everything together inside the /analyze Flask route

9. Step 9

   Test with a real resume PDF and a real job posting

• PyPDF2 documentation
• scikit-learn TF-IDF guide
• Cosine similarity explained
• Flask quickstart