This application is a full-stack solution built using the MEVN (MongoDB, Express, Vue, Node.js) stack.
It provides a seamless experience for users to register, book, and ride scooters while offering a comprehensive dashboard for insights into scooter trip statistics and user behaviors.
- 🚀 Scalable and Reliable: The application is containerized using Docker, ensuring easy deployment and scaling.
- 🌐 Real-time Communication: Socket.IO is used to provide real-time updates and notifications to users.
- 📦 API Endpoints: Robust API endpoints are provided for the frontend, enabling seamless communication between the frontend and backend.
- 🛵 Scooter Simulation: Scooters are simulated using Python, sending information and receiving commands through Kafka, effectively decoupling the backend and scooters.
- 📈 Data Insights: Access detailed statistics on scooter trips and user behaviors, enabling data-driven decisions.
- 🔐 User Registration and Authentication: Secure registration and login functionality using JWT tokens.
- 🛴 Ride Booking: Users can book and ride scooters, with real-time updates and commands managed through Kafka.
- 📊 Dashboard: Access detailed statistics on scooter trips and user behaviors, enabling data-driven decisions.
- 📱 Responsive Design: The frontend is designed to be responsive and user-friendly, supporting various devices and screen sizes.
- 🖥️ Frontend: Developed with Vue 3, leveraging SCSS for styling. The frontend is designed to be responsive and user-friendly.
- 🌐 Backend: Built with Node.js and Express, providing robust API endpoints for the frontend. Real-time communication is handled using Socket.IO.
- 🗄️ Database: MongoDB is used to store user data, trip statistics, and scooter information.
- 📨 Message Broker: Kafka is used to manage communication between scooters and the backend, ensuring reliable and scalable message handling.
- 🛵 Scooters: Simulated using Python, each scooter runs asynchronously in its own thread, sending information and receiving commands.
- 🐳 Containerization: The entire application is containerized using Docker, allowing for easy deployment and scaling.
- ☁️ Future Plans: Integration with Kubernetes for orchestration and management of containers, enhancing scalability and reliability.