Auto Valuator - ML Powered Car Valuation Tool

Auto Valuator is a full-stack web application that predicts car prices using the given information via a machine learning model.

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Live Demo

Try it out: Live Demo!

⚠️ Note: This application is deployed on Render’s free tier, so the server may take a few seconds to wake up after periods of inactivity. If you encounter unexpected errors when submitting the form, please wait a moment and try again.

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How it works

• 📝 User fills out the form with the relevant car details
• 🤖 Backend takes the details and predicts the car price using the ML model (saved in 'model.joblib'). The ML model ('model.joblib') is already included in the 'server' directory

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Tech Stack

• Frontend: React + TypeScript + Tailwind CSS
• Backend: Flask, Python
• ML Model (used in backend): Scikit-learn
• Libraries: NumPy, Pandas, Matplotlib

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Installation (Run Locally)

Open a terminal and navigate to the directory where you want to install the project:

# Clone the repository
git clone https://github.com/Aryan-R-Patel/AutoValuator.git

# Change to the app directory
cd AutoValuator

# Install the required libraries/packages

# client (frontend)
cd client
npm install

# server (backend)
cd ../server
pip install -r requirements.txt

# Run the application
# Open 2 terminals and navigate to the 'AutoValuator' directory. Then:

# Terminal 1:
cd client
npm run dev

# Terminal 2:
cd server
flask run

Then open http://localhost:5173 in your browser to view the application!

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Future Improvements / Todo

• 🔄 Improve UX by filtering the dropdown options. For example, if the user selects 'Honda' for the 'make', then only car models (such as 'Civic') from that 'make' should be displayed in the 'model' dropdown

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Contact / Report a Problem

If you have any feedback or would like to report a bug, please reach out to me via the following email.
Email: aryanr.patel@mail.utoronto.ca

Built with ❤ by Aryan Patel - CS Student & Software Engineer