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This project mainly focuses on deployment of the ML model using cost-free web service, and not on building the regression model itself.

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krishangi-deka/carprice

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Prediction of used car sale price using Linear Regression Model

The machine learning model was deployed on Amazon EC2 instance using docker container and Streamlit web app framework.

Regression model credits: Hamilton Chang

The objective of the project is mainly:

  1. To estimate the prices of used cars so that users can determine for how much would their used car could be sold
  2. Deploy the machine learning model through a cost free web service.
  3. Making the system responsive and user-friendly.

The final webpage deployed is available online at: http://ec2-54-163-16-187.compute-1.amazonaws.com:8501/

Project Demonstration and Presentation: Click here!

Documentation: Click here!

Note: This project was completed as a part of the Masters course IDS594:MLDeployment at the University of Illinois at Chicago.

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This project mainly focuses on deployment of the ML model using cost-free web service, and not on building the regression model itself.

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