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Project Title: Climate Change Analysis in West Africa: Forecasting Temperature Trends for Enhanced Resilience

This directory contains the capstone project for the Hamoye Eonflux team, Fall 2023.

This Streamlit web application uses a Vector AutoRegression (VAR) model to predict the average temperature of weather stations across wWest Africa

Table of Contents

Demo

You can access the live demo of the app here: Weather Station Prediction App

Prerequisites

Before using the app locally, make sure you have the following installed:

Usage

Follow these steps to use the app:

  1. Clone the GitHub repository on your local machine.
git clone https://github.com/Gbekoilias/Eonflux_Capstone_Project_HDSC_FALL_23.git
  1. Change your working directory to the cloned repository.
cd eonflux
  1. Install the required libraries using pip.
pip install -r requirements.txt
  1. Run the app locally using Streamlit.
streamlit run app.py
  1. Access the app in your web browser at http://localhost:8501

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  • Jupyter Notebook 99.9%
  • Python 0.1%