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hackutd2024

!DEMO VIDEO

Before Running

  1. create .env file with following: (you will need a database URL as well...) MODEL_PATH=../model/lightgbm_model.pkl LABEL_ENCODERS_PATH=../model/label_encoders.pkl
  2. change directories into back-end
  3. download dataset from kaggle called home credit default risk. place csvs inside data/home-credit-default-risk.
  4. run python3 data_preprocessing.py
  5. run python3 train_model.py
  6. run python3 predict_model.py

How to run FastAPI

  1. install the library: pip install fastapi uvicorn
  2. Modify the code as you see needed
  3. install dependencies as necessary
  4. run the server by typing: uvicorn main:app --reload

P.S. By default, API should be visible at this local address: http://127.0.0.1:8000

How to run the website

  1. go to the front-end folder (cd front-end)
  2. type npm i in the terminal (npm i)
  3. install dependencies as necessary
  4. type npm run dev
  5. Open local hosted link

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  • Python 94.9%
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