Currency Exchange Rate Predictor

This project focuses on predicting currency exchange rates using machine learning models, specifically a Random Forest Regressor and an ARIMA model. The project also includes a user interface for data visualization implemented with Tkinter.

Overview

• Objective: Predict exchange rates and provide a user-friendly interface for visualization.
• Models Used:
  • Random Forest Regressor
  • ARIMA (Autoregressive Integrated Moving Average)
• Visualization Tool: Tkinter GUI with Matplotlib integration.

Dependencies

• Python 3.x
• Libraries:
  • scikit-learn
  • statsmodels
  • matplotlib
  • pandas
  • tkinter

Setup

1. Install dependencies using: pip install -r requirements.txt
2. Run the main script: python main.py

Usage

1. Launch the Tkinter GUI by running main.py.
2. Enter the currency for which you want to predict exchange rates.
3. View the predicted exchange rates along with a comparison to the actual rates in the plotted graph.