🧠 AI Resume Ranker API

An intelligent, production-ready Resume Ranking API for developers, recruiters, and HR tech platforms.
Inspired by Stripe & Paystack API experiences — complete with authentication, dashboard, and live testing interface.

Built with Flask + Sentence Transformers + PDF Parsing + Semantic AI, this API helps you automatically score and rank resumes against any job description using powerful language understanding models.

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🚀 Features

• ✅ API Key Authentication with secure Bearer token format
• 🧾 Semantic Resume Ranking using transformer embeddings (not just keyword matching)
• 📤 Supports batch PDF uploads
• 📬 JSON API responses with ranked relevance scores
• 🧪 Live Testing Interface on the dashboard
• 🔐 Secure User System with login, signup, hashed passwords
• 🔁 API Key Regeneration from the dashboard
• 📚 Beautiful API Documentation Page with copyable code samples
• 🧰 Try It Now: Upload resumes + job text and see live scoring
• 📈 Ready for usage tracking, analytics, or rate limiting
• 💼 Built for scaling into a full SaaS product

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🌐 Live Demo

Coming soon: hosted on Render or Railway (e.g., https://resume-ranker.example.com)

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📦 API Overview

🔗 Endpoint

POST /api/rank-resumes

🔐 Authentication

Send your API key in the request header:

Authorization: Bearer amn=your\_api\_key\_here

📤 Request Parameters

Name	Type	Required	Description
resumes	file[] (PDF)	✅ Yes	One or more PDF resumes
job_description	string	✅ Yes	Job description text to compare with

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📥 Example Usage

🧪 Try It via cURL

curl -X POST https://yourdomain.com/api/rank-resumes \
  -H "Authorization: Bearer amn=sk_live_abc123xyz" \
  -F "[email protected]" \
  -F "[email protected]" \
  -F "job_description=We are hiring a backend Django developer..."

📦 Sample Response

{
  "results": [
    {
      "filename": "resume1.pdf",
      "score": 0.8745
    },
    {
      "filename": "resume2.pdf",
      "score": 0.6721
    }
  ],
  "count": 2,
  "requested_by": "[email protected]"
}

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🛠 Tech Stack

• Backend: Flask, Blueprints, Jinja2
• AI: SentenceTransformers (all-MiniLM-L6-v2)
• PDF Parsing: PyMuPDF
• Auth: Flask sessions + hashed passwords
• Database: SQLite (dev) / PostgreSQL-ready
• Frontend: Bootstrap 5 + custom Jinja templates
• Hosting: Render / Railway / PythonAnywhere
• Docs UI: Fully embedded HTML + live form

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🧪 Try It Now (via Dashboard)

• Register/Login
• View and copy your API Key
• Paste a job description
• Upload 1–5 resumes (PDF)
• Get AI-scored ranking results instantly

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🧑‍💻 Developer Setup

git clone https://github.com/yourusername/resume-ranker-api.git
cd resume-ranker-api
python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows
pip install -r requirements.txt
flask run

Perfect — thanks for the clarification.

You're right to remove the real email password before pushing to GitHub — sensitive credentials should never be committed. Instead, include placeholder values in the .env section of your README.md.

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✅ Updated .env Example for README

Here's the correct .env block to include in the README.md:

FLASK_ENV=development
SECRET_KEY=your_secret_key_here
DATABASE_URL=sqlite:///db.sqlite3

# ✅ Email credentials for verification system
EMAIL_USER[email protected]
EMAIL_PASS=your_app_password_here

📌 Note: Use an App Password (not your actual Gmail password) if you're using Gmail SMTP. App passwords are safer and Gmail-compliant.

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🔒 Additional Security Tip

To prevent accidental exposure:

• Add .env to your .gitignore
• Use environment variables in production (Render, Railway, Fly.io all support this)

.gitignore entry:

.env

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## ✅ Bonus (Optional): Mention in README

You can also add a small note under **Developer Setup** in your README:

> 📧 **Note:** To enable email verification links, set `EMAIL_USER` and `EMAIL_PASS` in your `.env`. We recommend using an App Password with Gmail or a transactional email provider like Mailgun or SendGrid.


## 💡 Future Features

* ✅ API usage tracking
* ⏳ Rate limiting (per API key)
* 📊 Dashboard analytics
* 🧠 Resume summarization API
* 📁 CSV/JSON result export
* 🧩 SDKs for Python & JS

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## 🤝 Contributing

Pull requests are welcome! Let's build the future of AI recruiting tools together.

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## 📜 License

MIT License

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## 📬 Contact

Made with ❤️ by [Muhammad Aminu Umar](mailto:[email protected])
🔗 [LinkedIn](https://linkedin.com/in/webcodelab) | [GitHub](https://github.com/webcodelabb)