Student Aid Frontend

Student Aid is a platform built using Node.js, Express.js, and React.js to assist financially disadvantaged students in fundraising for education. This repository contains the frontend codebase for the Student Aid application.

Table of Contents

• Features
• Prerequisites
• Getting Started
• Deployment
• Contributing
• License

Features

• User-friendly interface for easy navigation and interaction.
• Secure authentication and authorization system.
• Profile management for users to update their information.
• Help post creation and management.
• Donation tracking and progress monitoring.
• Integration with a secure Payment Gateway using SSLCOMMERZ.

Prerequisites

Before running the frontend application, ensure that you have the following prerequisites installed on your system:

• Node.js (version >= 12)
• NPM (version >= 6)

Getting Started

To get started with the frontend application, follow these steps:

1. Clone the repository:

   git clone https://github.com/hr-sobuj/student-aid-frontend.git

2. Navigate to the project directory:

   cd student-aid-frontend

3. Install the dependencies:

   npm install

4. Configure the backend API endpoint:

   Open the .env file in the project root directory and set the REACT_APP_API_URL variable to the URL of your backend API.

5. Start the development server:

   npm start

6. Open your web browser and visit http://localhost:3000 to access the Student Aid frontend application.

Deployment

To deploy the frontend application to a production environment, follow the deployment instructions specific to your hosting platform. Make sure to set the appropriate environment variables for your production environment.

Contributing

Contributions to the Student Aid frontend are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.

Tools Used

The following tools and technologies were used in the development of the Student Aid frontend:

• React.js
• React Router
• Axios
• Tailwind CSS
• CSS
• HTML

Testing

To test the application, use the following credentials:

• Email: user1@gmail.com
• Password: 123

Use the provided credentials to log in and test the various features and functionalities of the live chat application.

License

This project is licensed under the MIT License.