Abstract:
The continuous evolution of mobile and artificial intelligence technologies has opened new possibilities for enhancing user experiences in the tourism sector. Despite the abundance of travel-related applications, many fall short in delivering a seamless, intelligent, and localized travel planning experience—especially in regions like Pakistan. RecoVoyage addresses this gap by offering a smart, AI-driven mobile application designed to assist users in planning, managing, and enhancing their travel experiences through a centralized platform.
Developed using Flutter for cross-platform compatibility and Firebase as the backend, RecoVoyage integrates essential modules such as trip planning, real-time alerts, booking simulations, and offline access. The app employs an AI-powered recommendation engine to suggest destinations and experiences tailored to user preferences. It uses dummy APIs to simulate hotel, flight, and cab booking workflows and incorporates a conversational assistant powered by Mistral API to guide users interactively through travel-related queries.
To ensure reliability and scalability, the app features cloud-based data management through Firestore, supports multi-language accessibility, and enables offline functionality using cached data. Additional features include review and rating systems, loyalty rewards, and local deals to increase engagement and promote community-based tourism. Real-time notifications keep users updated with alerts like weather changes, flight status, and itinerary reminders.
Security and usability were key priorities in development, with encryption protocols and OWASP-guided testing ensuring robust protection. Future enhancements include integrating real-time payment gateways, extending local partnerships, and deploying the app for live user testing. RecoVoyage demonstrates a practical and innovative solution to modern travel challenges, offering an intelligent, inclusive, and user-friendly platform tailored for the evolving needs of Pakistani travellers.
