Here're some of the project's best features:
- Resume Analysis
- Resume Builder
- Resume Matcher
- Personality Insights
1. Install virtual enviornment
pip install virtualenv
2. Create a virtual enviornment
virtualenv 'name'
3. Activate the virtual enviornment
source venv/bin/activate
4. Install the packages
pip install -r requirements.txt
5. Make a file (for API credentials)
.env
6. Copy the format from
.env.example
7. To run the application
streamlit run app.py
* If facing a problem with pyresparser config file, change the pyresparser folder with the folder provided in the virtual enviornment
To run the application
docker-compose up -d
Technologies used in the project:
- Python
- Streamlit
- Spacy
- Gemini API
- Docker
This project is licensed under the MIT