FastAPI based Vehicle Price Prediction

Project includes

• Data analysis, visualization and ML model building as a Jupyter notebook.
• Training file that pickles the ML model.
• FastAPI backend with user interface which accepts vehicle parameters and predicts a price.

Instructions

1. Build the docker image

docker build -t vehicle-ml-build .

2. Run the container

docker run -d -p 80:80 --name vehicle-api vehicle-ml-build 

3. Go to localhost

http://127.0.0.1/docs

5. Try out the post /predict_endpoint method

curl -X POST "http://127.0.0.1/predict_endpoint" -H\
 "accept: application/json"\
 -H "Content-Type: application/json"\
 -d "{\"data\":[...insert data here...]}"