Resume Categorization

Objective:

Design, implement, and train a machine learning model to automatically categorize resumes based on their domain (e.g., sales, marketing, etc.). Following this, develop a script that can be run via the command line to process a batch of resumes, categorize them, and output results to both directory structures and a CSV file.

You can find this dataset here

Environment Setup

1. Install Anaconda
2. Create a new environment with Python 3.6: conda create -n venv python=3.6
3. Activate the environment: source activate venv
4. Install other dependencies: pip install -r requirements.txt

with virtualenv (if you dont have virtualenv)

1. In your Command Prompt enter: pip install virtualenv

2. Launch virtualenv : In your Command Prompt navigate to your project:(cd your_project) and enter:

   virtualenv env

3. Activate virtualenv:

   source env/bin/activate
env\Scripts\activate on Windows

4. Install other dependencies: pip install -r requirements.txt

Instructions

1. Open command prompt/terminal/anaconda prompt
2. Goto the directory: cd C:\Users\{user}\{your directory}
3. Run script: python script.py --input_dir cv/ --output_dir sort/