Abstract: The rapid growth of online travel platforms has increased the complexity of trip planning, requiring users to manually search across multiple sources for destinations, weather conditions, accommodations, and transportation options. Traditional travel planning systems often lack personalization and real-time adaptability. This project presents an AI-based travel planner, Voyage-AI, which generates personalized travel itineraries using user preferences and real-time data sources. The system integrates Artificial Intelligence, location-based services, and weather APIs to provide intelligent travel recommendations. A web-based interface allows users to input travel details, generate itineraries, manage bookings, and visualize results efficiently. The proposed system offers a scalable, automated, and user-friendly solution for modern travel planning
Keywords: AI Travel Planner, Itinerary Generation, Machine Learning, Smart Tourism, Travel Recommendation System
Downloads:
|
DOI:
10.17148/IJARCCE.2026.151128
[1] Nishanth S, Rajeshwari N, "AI BASED TRAVEL PLANNER-VOYAGE AI," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151128