Vacation Home is a web application designed to help users find, manage, and enjoy vacation properties seamlessly. This project leverages a range of AWS services and modern web technologies to provide a robust, scalable, and user-friendly experience.
- User Authentication: Secure user sign-up, login, and management using AWS Cognito.
- Property Search: Search for vacation homes using an intuitive interface powered by React.js and AWS Lambda.
- Notifications: Real-time notifications for property updates and booking confirmations using AWS SNS and SQS.
- Chatbot Support: Interactive chatbot support using AWS Lex for customer service and assistance.
- Data Storage: Persistent storage of user data, property listings, and booking information using AWS DynamoDB.
- Analytics: Integration with Looker Studio for data visualization and analytics.
- Pub/Sub Communication: Efficient messaging system using Pub/Sub for real-time updates and communication.
- Serverless Functions: Cloud Functions for executing backend operations without managing servers.
- Frontend: React.js
- Backend: AWS Lambda, AWS Cloud Functions
- Authentication: AWS Cognito
- Notifications: AWS SNS, AWS SQS
- Database: AWS DynamoDB
- Chatbot: AWS Lex
- Analytics: Looker Studio
- Messaging: Pub/Sub
The Vacation Home application is built with a serverless architecture to ensure scalability and reliability. Here’s an overview of the key components:
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Frontend (React.js): Provides a dynamic and responsive user interface for users to interact with the application.
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Backend (AWS Lambda & Cloud Functions): Handles all business logic, such as searching for properties, processing bookings, and managing user data.
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Authentication (AWS Cognito): Manages user authentication and authorization securely.
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Database (AWS DynamoDB): Stores user information, property details, and booking records in a NoSQL database.
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Chatbot (AWS Lex): Provides users with interactive support through a natural language chatbot interface.
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Notifications (AWS SNS & SQS): Facilitates real-time notifications and messaging between different components of the application.
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Analytics (Looker Studio): Visualizes data and provides insights into user behavior, property popularity, and more.
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Messaging (Pub/Sub): Supports real-time communication and updates across the application.