We are excited to develop a mobile application that recommends users find attractions based on the user's mood and rating. We recognize that many people are looking for ways to unwind and find healing admist their busy lives, and we believe that our application can help by providing personalized recommendations for natural beauty spots in indonesia.
Team ID: C23-PC704
| Name | Student ID | Path | University |
|---|---|---|---|
| I Gede Febry Abdi Saputra | M038DSX2924 | Machine Learning | Institut Teknologi Sepuluh Nopember |
| Ratna Tri Ningsih | M169DSY2999 | Machine Learning | Universitas Gadjah Mada |
| Khalilullah Al Faath | M360DSX0119 | Machine Learning | Universitas Telkom |
| Ganis Arindatu | C174DSY2772 | Cloud Computing | Universitas Hamzanwadi |
| Hasbullah Dedat Hasbala M | C191DKX4733 | Cloud Computing | Universitas Islam Negeri Alauddin Makassar |
| Faishal | A166DSX4941 | Android Development | Universitas Diponegoro |
- Machine Learning Repository: Halowisata-Machine-Learning | Halowisata-Machine-Learning-Flask
- Cloud Computing Repository: Halowisata-Cloud
- Mobile Development Repository: Halowisata-Android
This project was developed for fullfill the final capstone project submission at Bangkit 2023.
