Our project aims to develop a mobile application utilizing TensorFlow for image recognition to simplify nutrition intake tracking. The app addresses the common challenge of accurately monitoring daily nutrient intake by allowing users to conveniently capture and log nutrition information from food and drink using their smartphone camera. With rising concerns about health and nutrition, individuals often struggle to keep track of their dietary habits effectively, leading to potential health issues.
| Bangkit ID | Name | Learning Path | University | Contact |
|---|---|---|---|---|
| C006D4KY0472 | Bagja Navayo | Cloud Computing | Universitas Brawijaya |  |
| C006D4KY0716 | Muhammad Fauzan Al-Rafi | Cloud Computing | Universitas Brawijaya | |
| M322D4KY1471 | Israk Faradila | Machine Learning | Universitas Syiah Kuala | |
| M006D4KY1817 | Rafi Athallah Kurniawan | Machine Learning | Universitas Brawijaya | |
| M232D4KX1837 | Gisella Angel Clarissa | Machine Learning | Universitas Katolik Parahyangan | |
| A110D4KY4075 | Fx. Guntur Putra Susanto | Mobile Development | Institut Sains Dan Teknologi Akprind | |
| A110D4KY4443 | Nizar Izzuddin Yatim Fadlan | Mobile Development | Institut Sains Dan Teknologi Akprind | |