A powerful Streamlit web app that uses AI (OpenAI GPT models) to analyze your resume for ATS (Applicant Tracking System) compatibility. Upload your resume (PDF), optionally add a job description, and receive a detailed, actionable report with scores, keyword analysis, strengths, improvement areas, and best-practice tips.

• PDF Resume Upload: Extracts and analyzes your resume content.
• Job Description Matching: (Optional) Paste a job description to tailor the analysis.
• AI-Powered Analysis: Uses OpenAI GPT models for comprehensive, section-by-section feedback.
• ATS Score: Get an overall compatibility score (0–100).
• Detailed Feedback: Assessment and recommendations for each resume section.
• Keyword Analysis: Identifies present, missing, and overused keywords.
• Word Cloud: Visualizes key terms in your resume.
• Interactive Visualizations: Section scores, metrics, and keyword stats.
• Downloadable Report: Export a markdown analysis report.
• Best-Practice Tips: Built-in guidance for resume writing and ATS optimization.

git clone https://github.com/Amishmathur1/ResumeATS
cd ../ResumeATS

pip install -r requirements.txt

The app will attempt to download required NLTK resources (punkt and stopwords) automatically.
If you encounter issues, run:

import nltk
nltk.download('punkt')
nltk.download('stopwords')

streamlit run main.py

• Enter your OpenAI API key in the sidebar.
• Upload your resume as a PDF.
• (Optional) Paste a job description for targeted analysis.
• Adjust analysis depth and model settings as needed.
• Click Analyze Resume to receive your report.
• View detailed results, download your report, and explore resume tips.

See requirements.txt for all dependencies.

streamlit
openai
PyPDF2
pandas
matplotlib
numpy
plotly
wordcloud
nltk