Travel With Generator AI: A Novel Approach to Itinerary Creation
The usual problems that arise are in the efficiency of itinerary planning of the Travelers. The problem with all travel options and destinations is the challenge of organizing a personal itinerary according to personal preferences, constraints, and interests. Traditional methods of itinerary planning are both inflexible and time-consuming, which produces many generic recommendations that do not take into consideration the preferences of the travelers or address the comprehensive travel experience. These problems are solved by our app: it incorporates user preferences into the itinerary generation, allowing the input of user preferences by the users. Machine learning algorithms then analyze these preferences and generate personalized recommendations based on them. This way, each itinerary is specifically tailored to your needs, making the experience that much more enjoyable and fulfilling.
Authors
- Nitisha Jain (ORCID: https://orcid.org/0000-0002-7429-7949)
- Ranjeet Vasant Bidwe (ORCID: https://orcid.org/0000-0002-6801-3102)
- R. J. Dias (ORCID: https://orcid.org/0000-0001-7827-1335)
- R. Dhamija (ORCID: https://orcid.org/0000-0001-7052-3163)
- Sashikala Mishra (ORCID: https://orcid.org/0000-0002-5433-4917)
- Mamta Gupta (ORCID: https://orcid.org/0000-0002-6985-9636)
- Ganesh Deshmukh
Institutions
- Symbiosis International University (IN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/iccubea61740.2024.10775161
- Citations
- 1
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.20