Year: 2025
Type: article
Abstract: The AI-powered Intelligent Trip Planner leverages machine learning, predictive analytics, and heuristic optimization to create personalized travel itineraries. Using NLP to interpret preferences, deep learning for cost and time estimation, and reinforcement learning for itinerary refinement, it dynamically adapts to real-time data from flights, hotels, and local events. Key features include context-aware recommendations, adaptive scheduling, sentiment analysis, and budget- conscious route optimization. With an intuitive web and mobile interface, it transforms travel planning into a seamless, data-driven, and highly personalized experience. Index Term- Predictive Analytics, Heuristic Optimization, Natural Language Processing, Reinforcement Learning, Real-time Data, Context-aware Recommendations, Adaptive Scheduling, Sentiment.
DOI: 10.55041/ijsrem44350
Authors: Disha Kalal,, Sakshi Arlekar,
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409464939