Setting up Backend

1. Navigate to backend folder

cd ./models

2. Install dependenceis

pip install -r requirements.txt

3. We are using gemini-pro for optimizing uploaded resume. Get API key for gemini-pro model from https://ai.google.dev/
4. We are using REED api for retreiving job postings. Get API key from https://www.reed.co.uk/developers/jobseeker
5. Create .env file in this directory to integrate API keys. Add API key to this file in following format.

API_KEY='XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
REED_API='XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'

6. We finetuned BERT classification model for job matching. Download .pth file from https://drive.google.com/file/d/1fkOr3PZjZdOLGhl3-EzEPu_PtCFEpaAN/view?usp=sharing.
7. Start the server with following command.

flask run

Setting up Frontend

1. Navigate to frontend folder

cd ./frontend/resume-optimizer

2. Install the dependencies

npm install

3. Run the server

npm start