Travel Amigo-Customized Travel Planner Using AI GPT Model

Travel Amigo-Customized Travel Planner Using AI GPT Model

[1] Shruti Ahire, [2] Maitreyee Devde, [3] Hrishita Patil, [4] Prof. Ms. S. P. Hon

Department of Electronics and Computer Engineering, PES’s MCOE, Savitribai Phule Pune

University Pune, Maharashtra, India

Abstract— To provide a smooth and customized travel planning experience, the personalized travel planner project leverages the capabilities of GPT-3.5, Google Maps, and Google APIs combined with Firebase. Customized day-wise itineraries are generated by the system using powerful AI and machine learning pretrained models, which aggregate user choices like as destination, duration, budget, and activities. In addition to offering suggestions for lodging and restaurants, the planner uses Google API to obtain location photos and offers real-time navigation. Data synchronization in real time, effective data management, and secure user authentication are all guaranteed by Firebase. In an effort to completely transform how people plan their vacations, this all-inclusive solution tackles issues with privacy, security, and localization.

Keywords—Budget, Google Maps, Machine Learning.