GDP Forecasting Tool

This project is a GDP Forecasting Tool that leverages a React and Vite-based frontend and a Django-powered backend. It enables users to forecast GDP values using advanced data processing and visualization tools.

Getting Started

To get started, clone the repository from GitHub:

git clone https://github.com/JustusWamswa/gdp_forecast.git
cd gdp-forecasting-tool

The project has two directories:

backend: Contains the Django backend code.

frontend: Contains the React frontend code.

Prerequisites

Ensure the following are installed on your system:

Python (3.8 or later) Node.js (14.x or later) and npm

Setup

Backend Setup

Navigate to the backend directory:

cd backend

Create a Python virtual environment:

python -m venv venv

Activate the virtual environment:

On macOS/Linux:

source venv/bin/activate

On Windows:

venv\Scripts\activate

Install dependencies from requirements.txt:

pip install -r requirements.txt

Run the backend server locally:

python manage.py runserver

Alternatively, you can use the hosted backend link provided: https://gdp-forecast-backend.vercel.app/api/get_inference/

Frontend Setup

Navigate to the frontend directory:

cd frontend

Install the necessary dependencies:

npm install

Create a .env file in the frontend directory with the following content:

VITE_API=<BACKEND_LINK>

Replace <BACKEND_LINK> with either the local backend URL (e.g., http://127.0.0.1:8000/api/get_inference/) or the hosted backend link.

Run the frontend development server:

npm run dev

Running the Application

Start the backend server (locally or use the hosted backend).

Run the frontend server.

Access the application via the local frontend server URL displayed in the terminal (e.g., http://localhost:5173).

Access hosted frontend at https://gdp-forecast.vercel.app/