This project is a web application built with Flask that predicts future DBS share prices based on the SGD to USD exchange rate using a pre-trained linear regression model.

• Follow these steps to set up and run the application locally:

1. Create a Virtual Environment:

• Before running the application, create a virtual environment to manage dependencies: python -m venv venv

2. Activate the Virtual Environment:

   • On Windows: .\venv\Scripts\activate
   • On Mac/Linux: source venv/bin/activate

3. Install Required Packages: pip install -r requirements.txt

4. Run the Python Model Script: - This script will create the linear regression model and save it for use by the Flask app: python model.py

5. Run the Flask Application: - Start the Flask web server: python app.py

6. Access the Application:

   • Open your web browser and navigate to http://127.0.0.1:5000/ to use the app.

• PythonAnywhere Deployment
• Render Deployment