An AI service that analyzes preferences and personality to recommend a personalized travel itinerary. Routes, lodging, food and attractions wind together into one flow so users spend less time planning.
Everyone enjoys planning a trip — and everyone spends too long doing it.
Hopping across blogs, social and review sites to collect information, then ordering it into a schedule, takes days. For plenty of users, 'tiredness of planning' arrives before 'joy of traveling.'
Existing recommendation tools tend to give the same answer to the same keyword, with little room for personal taste.
Taking taste and personality as signals, we recommend routes, lodging, food and attractions together — and let the user edit the full itinerary on one screen.
Taste, travel style and budget feed a GPT-based recommendation model. Routes, lodging, food and attractions land in one bundle.
Rather than handing users a fixed result, the interface lets them adjust the schedule directly. AI recommends; the user shapes.
Recommendation-result UI and backend separated for operations.
GPT-based model for preference analysis and itinerary recommendation.
Travel-data handling and AWS-based deployment.