Easy Travel AI-Powered Platform

Developing an innovative travel web application that leverages cutting-edge AI technology to revolutionize trip planning and destination discovery. Building a full-stack solution using Next.js 15 with TypeScript for comprehensive type safety and optimal performance optimization. Currently implementing intelligent destination recommendations using machine learning algorithms, real-time weather integration with 7-day forecasts, and personalized travel planning features with user preference learning. Designing responsive UI components using Tailwind CSS and Shadcn UI, ensuring consistent user experience across desktop, tablet, and mobile devices. Integrating Prisma ORM with PostgreSQL for robust data management, implementing advanced caching strategies, and building scalable architecture to support thousands of concurrent users. Adding features like interactive maps, travel cost estimation, and social sharing capabilities.

Tools used:

TypeScript: Implementing comprehensive type safety with strict mode, creating custom interfaces and generics, and improving code maintainability with advanced type checking. Next.js 15: Utilizing latest features including App Router, Server Components, and streaming for optimal performance and SEO. Tailwind CSS: Creating responsive, utility-first styling with custom design tokens and consistent design system implementation. Prisma: Designing efficient database schemas with relationships, implementing query optimization, and building robust data validation layers.