The Airbnb Clone Project is a full-stack web application designed to simulate the core features of Airbnb, a popular property booking platform. This project focuses on backend development, database design, API security, and continuous integration/deployment (CI/CD) to build a scalable, secure, and maintainable system. The technology stack includes Django, MySQL, GraphQL, Docker, and GitHub Actions, aiming to equip learners with real-world software development skills.
- Backend Developer: Responsible for designing and implementing the server-side application logic, APIs, and database interactions to ensure seamless data flow and business logic execution.
- Database Administrator: Designs, optimizes, and maintains the relational database system to ensure data integrity, performance, and scalability.
- Frontend Developer: Develops the user interface and client-side logic to provide an interactive and user-friendly experience (though not the main focus in this project).
- DevOps Engineer: Sets up and manages CI/CD pipelines, automates deployment, and maintains the development environment to support continuous delivery.
- Project Manager: Oversees project planning, progress tracking, team coordination, and communication to ensure timely delivery of project milestones.
- Django: A high-level Python web framework used for building robust backend APIs and handling application logic.
- MySQL: A relational database management system used to store and manage structured data such as users, properties, bookings, and payments.
- GraphQL: A flexible query language and runtime for APIs that allows clients to request exactly the data they need.
- Docker: A containerization platform used to package the application and its dependencies for consistent development, testing, and deployment environments.
- GitHub Actions: A CI/CD service that automates building, testing, and deploying the application to ensure faster and reliable releases.
- Postman: A tool used for testing and validating API endpoints to ensure they work as expected.
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User
6400id(Primary Key)usernameemailpassword_hashprofile_picture
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Property
id(Primary Key)owner_id(Foreign Key to User)titledescriptionlocationprice_per_night
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Booking
id(Primary Key)user_id(Foreign Key to User)property_id(Foreign Key to Property)start_dateend_datestatus
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Review
id(Primary Key)user_id(Foreign Key to User)property_id(Foreign Key to Property)ratingcommentcreated_at
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Payment
id(Primary Key)booking_id(Foreign Key to Booking)amountpayment_datepayment_status
- A User can own multiple Properties (one-to-many relationship).
- A Booking belongs to one Property and is made by one User.
- A User can leave multiple Reviews on different Properties.
- Each Booking has one associated Payment record.
- User Management: Enables users to register, authenticate, and manage their profiles securely.
- Property Management: Allows property owners to list, update, and delete properties.
- Booking System: Provides functionality for users to book properties for specific dates and manage their bookings.
- Review System: Lets users leave ratings and comments on properties they have stayed in to build community trust.
- Payment Processing: Handles secure payments linked to bookings, ensuring smooth transactions.
- API Security: Implements authentication, authorization, and input validation to protect data and prevent unauthorized access.
- CI/CD Pipeline: Automates testing, building, and deployment to improve efficiency and maintain code quality.
The project employs several key security measures to safeguard the application:
- Authentication: Uses JSON Web Tokens (JWT) to verify user identity securely.
- Authorization: Role-based access control restricts user actions based on permissions.
- Input Validation: Validates all incoming data to prevent injection attacks and data corruption.
- Rate Limiting: Controls the number of requests a user can make in a given time to prevent abuse.
- Secure Data Storage: Passwords are hashed and sensitive data is encrypted.
Continuous Integration and Continuous Deployment (CI/CD) automate the development process by automatically testing, building, and deploying code changes. This speeds up releases, reduces manual errors, and improves software quality.
For this project:
- GitHub Actions automates workflows that run tests and build Docker images upon every commit.
- Docker containers ensure consistent environments across development, testing, and production.
- Automated deployment reduces downtime and allows for rapid iteration.
Using CI/CD pipelines fosters collaboration, maintains code integrity, and enables faster delivery of features.
Developed by Rafia Kedir loper, Pro Dev Backend Cohort 2