Soccer Prediction Site Integration & Deployment -- 2

Job ID: 38201336

Budget: €8 – €250 EUR

Please do not send me a bid with generated text. Please read the job and look at the code.
Tell me how you can help me, how much and how long. thank you.

Job Description:
I have a project for a Multi-League Soccer Prediction website based on real soccer games from real leagues and have the necessary code for the backend, frontend, and database setup. I need an experienced developer to:

Integrate the provided backend and frontend code.
Set up the MongoDB database.
Deploy the website to a live server.
Key Tasks:
Backend: Integrate the Express.js server, MongoDB, and necessary API routes.
Frontend: Set up the React.js application and ensure it communicates with the backend.
Database: Configure MongoDB and connect it to the application.
Deployment: Deploy the entire application (both backend and frontend) to a live server (e.g., AWS, Heroku, DigitalOcean).
Project Structure:
Backend:

server.js - Main server setup
Models (User, Prediction, League)
Routes (User routes, Prediction routes, Admin routes)
Frontend:

React components for login, registration, and prediction submissions
Deliverables:
A fully functional and live multi-league soccer prediction website.
Documentation on how to manage and maintain the website.
Instructions on how to access and use the admin panel.
Additional Information:
Tech Stack: Node.js, Express.js, MongoDB, React.js
Hosting: Preferably AWS, Heroku, or DigitalOcean (open to suggestions)
Code: I will provide the code for the backend and frontend.
Requirements:
Proven experience with Node.js, Express.js, MongoDB, and React.js.
Experience deploying web applications to live servers.
Strong communication skills and ability to deliver within a specified timeline.
To Apply:
Please provide:

Examples of similar projects you have worked on.
Your estimated time to complete the project.
Your proposed cost for the project.
Looking forward to working with a skilled developer to bring this project to life!

Technologies Used:
Backend: Node.js with Express.js
Frontend: HTML, CSS, JavaScript (React.js)
Database: MongoDB

I added the code so you can see.