- 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.
To set up the project locally, follow these steps:
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Clone the repository:
git clone https://github.com/susil-123/Resume-Analyser.git
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Create virtual enviroinment:
conda create -p venv python==3.12 conda activate venv
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Install requirements:
pip install -r requirements.txt
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Run the application:
python app.py