Getting Started

Prerequisites

• Node.js and yarn for the frontend.
• Python 3.7+ and pip for the backend.

Frontend

The frontend is built with React, and yarn as the package manager.

Installation

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies

   yarn install
   

3. Start the development server

   yarn dev
   

Backend

This is the backend component of the Real-Time Stock Price Prediction Application. It is built using Flask and serves as an API to handle requests, process CSV files, and perform stock price predictions.

Installation

1. Navigate to the backend directory:

   cd backend

2. Create and activate a virtual environment

   python -m venv env
   .\env\Scripts\activate
   

3. Install the required packages

   pip install -r requirements.txt
   

4. Start the backend server

   flask run --debug