Travel-AI: A Comprehensive Intelligent Framework for Personalized Travel Planning, Predictive Analytics, and Secure booking
Vinila V 1 ,Alex John 2 ,Arul J P3 ,Abhishek A M 4 ,Abhinav K B5
1Asst Professor, Dept of CSE , Sree Narayana Gurukulam College of Engineering, Kochi, India vinilav1999@gmail.com
2Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India alexjohn1047@gmail.com
3Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India aruljp008@gmail.com
4Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India iamabhishekofficial01@gmail.com
5Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India abhinav21621@gmail.com
Abstract - This paper presents Travel AI, an end-to-end intelligent travel platform designed to revolutionize the travel planning and management ecosystem. The system integrates multiple advanced machine learning models within a modern full-stack architecture to automate and personalize the entire travel lifecycle. Core innovations include a multi-algorithm itinerary planner that synergistically combines K-Means clustering for point-of-interest grouping with genetic algorithms for optimal activity sequencing under user constraints. A hybrid recommendation engine employs both collaborative and content-based filtering, enhanced by deep learning models for analyzing accommodation imagery and reviews. Predictive analytics are delivered through Long Short-Term Memory (LSTM) networks for dynamic flight and hotel price forecasting, empowering users with cost-efficient booking strategies. Real-time user interaction is facilitated by a transformer-based Natural Language Processing (NLP) chatbot, providing 24/7 conversational support. Critical security is embedded via a fraud detection module using Isolation Forest for anomaly detection and Logistic Regression for transaction classification. Additionally, Convolutional Neural Network (CNN)-based landmark recognition enables visual discovery. Deployed using a ReactJS frontend, Django backend, and cloud infrastructure, Travel AI establishes itself as a comprehensive, intelligent travel companion that effectively addresses prevailing challenges in personalization, financial optimization, and security within the global travel industry.
Key Words: Artificial Intelligence, Machine Learning, Travel Recommendation, Itinerary Planning, Price Forecasting, LSTM, Chatbot, Fraud Detection, ReactJS, Django, Cloud Computing.
