Time Off

Seoul attraction recommendation service based on congestion prediction


at Sejong University & Youth Data Camp

Seoul attraction recommendation service based on congestion prediction
  • Tools
  • HTML5
  • CSS
  • Javascript
  • Python
  • Open API
  • Size
  • web 1920 x 1080 px
  • Medium
  • Interface
  • Date
  • Sejong University, 2019

The Challenge

1. The increase in the level of satisfaction with tourism in Korea is minimal.
2. The lack of diversity in tourist destinations.
3. The weak points of domestic tourism are the natural scenery, cultural heritage, and tourist congestion.

The Outcome

1. Provide various attractions focus on natural scenery and cultural heritage that most affects the satisfaction score of domestic and foreign tourism.
2. Distribute the number of tourists by predicting the number of visitors in real-time and in the future.

Data web service
Data web service
Data web service

Are you interested in my project and want to know more?
Contact me!
guswls1994@gmail.com