AI-Based Intelligent Trip Planning and Recommendation System

The AI Trip Planner and Recommendation System is an intelligent travel management system that uses Artificial Intelligence (AI) and Machine Learning (ML) to automate the trip planning, discovery of destinations, and hotel booking. The system brings together various APIs like Gemini AI, Razorpay, OpenStreetMap and Weather API to enable a full end to end personalized travel experience. The system was developed using Python (Django Framework) programming language with a SQLite database to provide the user with an engaging web-based platform where the users can plan trips, discover routes, bring up maps, and securely book hotels. The AI model utilizes user preferences around budget, type of destination and length of stay to generate a personalized leisure travel plan. The system will also provide live weather information, a payment gateway for bookings to hotels, and an AI chat-bot for real-time travel recommendations

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-04
DOI
https://doi.org/10.48175/ijarsct-29648
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Intelligent Trip Planning and Recommendation System

Prof. Mrs. Rokde N. G., Pratibha Vijay Jadhav, Mr.Hanumant R.Gite, Prof. Said S. K et al.
International Journal of Advanced Research in Science Communication and Technology
Internet of Things and AI
article

AI-Based Intelligent Trip Planning and Recommendation System

Prof. Mrs. Rokde N. G., Pratibha Vijay Jadhav, Mr.Hanumant R.Gite, Prof. Said S. K, Mr. Yash Bankhele, Mr. Omkar Khollam
article en

Abstract

The AI Trip Planner and Recommendation System is an intelligent travel management system that uses Artificial Intelligence (AI) and Machine Learning (ML) to automate the trip planning, discovery of destinations, and hotel booking. The system brings together various APIs like Gemini AI, Razorpay, OpenStreetMap and Weather API to enable a full end to end personalized travel experience. The system was developed using Python (Django Framework) programming language with a SQLite database to provide the user with an engaging web-based platform where the users can plan trips, discover routes, bring up maps, and securely book hotels. The AI model utilizes user preferences around budget, type of destination and length of stay to generate a personalized leisure travel plan. The system will also provide live weather information, a payment gateway for bookings to hotels, and an AI chat-bot for real-time travel recommendations

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 54%
Internet of Things and AI
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AI-Based Intelligent Trip Planning and Recommendation System — Prof. Mrs. Rokde N. G., Pratibha Vijay Jadhav, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS