AI-Powered Travel Booking Website
Budget: $25 – $50 USD
AI-Powered Travel Booking Website
Developed a full-stack travel booking platform that leverages AI-driven recommendations to personalize user experiences. The system allows customers to search, compare, and book flights, hotels, and vacation packages seamlessly.
Key Features:
AI-based recommendation engine suggesting destinations, hotels, and packages based on user preferences and search history.
Real-time flight and hotel API integrations for up-to-date availability and pricing.
Secure authentication and authorization with JWT/OAuth2.
Responsive, modern UI built with React, Vue, and Angular for flexibility and performance.
Scalable backend using Node.js, Python (FastAPI/Flask), and PostgreSQL for handling complex queries and transactions.
Workflow automation with n8n for booking confirmations, email notifications, and CRM integration.
CI/CD pipelines with GitHub Actions and Jenkins for automated testing and deployment.
Deployed on AWS using Docker for containerization and Redis for caching to ensure high performance.
Impact:
Increased user engagement through personalized AI suggestions.
Reduced booking friction with automated workflows.
Scalable architecture supporting thousands of concurrent users.
Developed a full-stack travel booking platform that leverages AI-driven recommendations to personalize user experiences. The system allows customers to search, compare, and book flights, hotels, and vacation packages seamlessly.
Key Features:
AI-based recommendation engine suggesting destinations, hotels, and packages based on user preferences and search history.
Real-time flight and hotel API integrations for up-to-date availability and pricing.
Secure authentication and authorization with JWT/OAuth2.
Responsive, modern UI built with React, Vue, and Angular for flexibility and performance.
Scalable backend using Node.js, Python (FastAPI/Flask), and PostgreSQL for handling complex queries and transactions.
Workflow automation with n8n for booking confirmations, email notifications, and CRM integration.
CI/CD pipelines with GitHub Actions and Jenkins for automated testing and deployment.
Deployed on AWS using Docker for containerization and Redis for caching to ensure high performance.
Impact:
Increased user engagement through personalized AI suggestions.
Reduced booking friction with automated workflows.
Scalable architecture supporting thousands of concurrent users.