ResumeIQ is a smart resume analysis tool that helps job seekers see their resume the way an Applicant Tracking System (ATS) and a recruiter would. Upload a PDF resume and instantly get an ATS compatibility score, job-role match analysis, detected skills, and actionable optimization suggestions — all through a clean, interactive Gradio dashboard.
Built for students and job seekers who want clear, data-backed feedback before sending their resume out, instead of guessing what's working and what isn't.
- 📄 PDF Resume Parsing — Extracts and structures text directly from uploaded PDF resumes.
- 📊 ATS Score Analysis — Estimates how well a resume would pass through automated ATS filters.
- 🎯 Job Role Matching — Compares resume content against target job roles to measure fit.
- 🧠 Skill Detection Engine — Automatically identifies technical and soft skills mentioned in the resume.
- ✨ Resume Optimization — Suggests concrete improvements to boost ATS score and role alignment.
- 🚀 Interactive Gradio Dashboard — Upload, analyze, and review results in a single clean interface.
| Tool | Purpose |
|---|---|
| Gradio | Interactive web dashboard |
| PyMuPDF (fitz) | PDF text extraction & parsing |
| Python 3.9+ | Core logic |
git clone https://github.com/AreefRasool/ResumeIQ.git
cd ResumeIQpip install -r requirements.txtOr directly:
pip install gradio pymupdfpython app.pyThe app will launch locally and also generate a shareable public link via Gradio's share=True.
💡 Running in Google Colab / Kaggle? Upload
app.py, install dependencies with!pip install gradio pymupdf, then run the script — Gradio will give you a public shareable link.
- Upload a resume in PDF format
- Parse the document and extract structured text
- Detect skills, keywords, and resume sections
- Score ATS compatibility and match against the selected job role
- Generate optimization suggestions to improve the resume
- Data Analyst
- Web Developer
- AI Engineer
More roles can easily be added by extending the role-keyword matching logic.
- 🌐 Support for DOCX resume uploads
- 🤖 AI-generated resume rewriting suggestions
- 📈 Resume version comparison and improvement tracking
- 🧩 Expanded job-role library with custom role creation
- 🔗 LinkedIn profile cross-analysis
Areef Rasool
BSAI Student | AI, Development & Networking Enthusiast
This project is open-source and available under the MIT License.