Employability Prediction API

Overview

This project aims to predict the employability of individuals based on various criteria using deep learning models. The project has transitioned from traditional regression and XGBoost methods to a Convolutional Neural Network (CNN) based approach to enhance performance.

Installation

Prerequisites

Python 3.8+
MongoDB
TensorFlow 2.x
Scrapy

Setup

Clone the repository:

git clone https://github.com/elbasri/EmployabilityAPP.git
cd EmployabilityAPP

Install the required Python packages:

pip install -r requirements.txt

Running the API

To start the Flask API, run:

python app.py

Usage

Once the API is running, it will be accessible from http://localhost:5000. You can make POST requests to /predict endpoint to predict employability.

Example request:

To start the Flask API, run:

import requests

data = {
    "experience_required": 0.3,
    "Bac": 1,
    "Bac +2": 1,
    "Bac +3": 1,
    "Bac +4": 0,
    "Bac +5": 0,
    "Doctorate": 0
}

response = requests.post('http://localhost:5000/predict', json=data)
print(response.json())

Project Structure

-- app.py: Entry point for the Flask API.
-- predictor.py: Contains the implementation of the EmploymentPredictor class which includes model training and prediction logic.
-- requirements.txt: Lists all Python libraries that the project depends on.

Contributing

Contributions to this project are welcome. Please ensure to update tests as appropriate.

License

This project is supported by the MIT License - see the LICENSE file for details.

elbasri / EmployabilityAPP