Resume Analyser

Project Overview

This end-to-end project involves the following stages:

• Data Collection: Gathering data from kaggle datasets.
• Data Processing: Cleaning and preprocessing the data to make it suitable for analysis.
• Model Training: Developing and training machine learning models to predict which kind of resume.
• Deployment: Deploying the model to make predictions on new data.

Installation

To set up the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/susil-123/Resume-Analyser.git
   

2. Create virtual enviroinment:

   conda create -p venv python==3.12
   conda activate venv
   

3. Install requirements:

   pip install -r requirements.txt
   

4. Run the application:

   python app.py