GoTrip
An AI-powered travel planning platform that generates personalized itineraries using machine learning and real-time data from multiple travel APIs.
Tech Stack
Overview
GoTrip reimagines travel planning by combining AI-generated itineraries with real-time data from flights, hotels, and activities APIs. Users describe their ideal trip, and GoTrip creates a complete, day-by-day plan tailored to their preferences, budget, and travel style.
The Problem
Planning a trip typically requires hours of research across multiple platforms. GoTrip consolidates this into a single, intelligent experience.
Architecture
The platform uses a microservices architecture:
- Frontend: Next.js with TypeScript for a responsive, fast UI
- AI Engine: Python FastAPI service using OpenAI for itinerary generation
- Data Layer: PostgreSQL for persistence, Redis for caching API responses
- Integrations: Amadeus API (flights), Booking.com API (hotels), Google Places API (activities)
Key Features
- Natural language trip description
- AI-generated day-by-day itineraries
- Real-time pricing from travel APIs
- Collaborative trip planning
- Export to calendar and PDF
- Budget optimization suggestions
Challenges
The biggest challenge was balancing AI creativity with practical constraints. An AI might suggest visiting three cities in one day , we needed constraint systems to ensure itineraries were actually feasible.
Lessons Learned
Building GoTrip taught me that the best AI products don't just generate content , they understand context. Travel planning requires understanding geography, time zones, transit times, and personal preferences simultaneously.