Easy Travel AI-Powered Platform

Easy Travel started from a familiar frustration: planning a trip often means juggling destination guides, weather forecasts, budgets, and itinerary ideas across too many tabs. I wanted to explore a simpler workflow—one place to discover destinations, understand the essentials, and turn loose travel preferences into a plan.

The app is designed for both quick getaways and longer trips. A user can explore destinations, check weather information, and ask for AI-assisted recommendations that reflect their budget, interests, and available time. The goal is not to make every decision automatically; it is to give the user a useful starting point that they can adapt to their own trip.

I am building Easy Travel with TypeScript, Next.js, Tailwind CSS, Shadcn UI, Prisma, and PostgreSQL. The application combines stored trip and itinerary data with AI-powered planning and weather information, giving the planning process a more connected feel than a collection of separate tools.

Easy Travel is currently in beta. This version is focused on proving that the core planning workflow is genuinely helpful before I add more automation and collaboration. The next stage is to keep refining the recommendations and make it easier to revisit, edit, and build on a trip plan over time.