🧠 AI Resume Screener

An intelligent resume screening web application built using Python, Flask, HTML/CSS, JavaScript, and C#.
It helps recruiters or HR teams upload resumes and screen candidates based on job roles and required skills using natural language processing (NLP) techniques.

📷 Screenshots

🔍 Features

• 📄 Upload resumes in .pdf or .docx format
• 🧠 Extract and process resume text using Spacy
• 🧪 Match resumes to job descriptions using Scikit-learn
• 📊 View ranked results based on similarity
• 🖥️ Responsive web interface with HTML, CSS, JavaScript
• 🧰 Backend built in Flask (Python)

📁 Project Structure

resume-screener/ │ ├── app.py # Main Flask app ├── algorithms.py # Resume processing logic ├── requirements.txt # Python packages ├── /templates # HTML files (Jinja2 templates) │ ├── index.html │ └── results.html ├── /static # CSS, JS, images │ └── style.css └── uploads/ # Temporarily stores uploaded resumes

🧪 Installation (Local)

git clone https://github.com

cd resume-screener

python -m venv venv

venv\Scripts\activate # On Windows

pip install -r requirements.txt

python app.py

Open your browser

🛠 Built With

Python

Flask

Scikit-learn

Spacy

HTML5

CSS3

JavaScript

📬 Contact

Ayesha Emaan

💼 Web Developer | Python Developer

📧 [email protected]