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

• Table of Contents
• Demo
• Prerequisites
• Usage

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:

• Python 3.9 or latest version
• pip

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

2. Change your working directory to the cloned repository.

cd eonflux

3. Install the required libraries using pip.

pip install -r requirements.txt

4. Run the app locally using Streamlit.

streamlit run app.py

5. Access the app in your web browser at http://localhost:8501