Yadata - Apartment Price Prediction App

Yadata is a web application that predicts the price of an apartment or house based on user input. Users enter property details, and the system returns an estimated price using a Python ML model running on a Node.js/Express backend.

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Quick Start

1. Clone the Repository

git clone <your-repo-url>
cd Yadata

2. Backend Setup

cd backend
npm install
npm run dev

The backend server runs on http://localhost:3000

3. Frontend Setup

cd frontend
npm install
npm run dev

The frontend runs on http://localhost:5173

Using the App

A. Open the frontend in your browser.

B. Fill in property details:

• Size (m²)

• Location

• Number of rooms

• Age of the property

• Parking availability

C. Click Predict.

D. View the estimated property price.

Future Improvements

• Integrate a fully trained Python ML model for more accurate predictions.

• Add additional property features such as:

  • Balcony

  • Storage

  • Furnished

  • Security features

• Implement user authentication and property history tracking.

• Prepare production deployment using Docker, Kubernetes, or OpenShift.

• Improve UI/UX and overall user experience.