| Name | University | Role(s) |
|---|---|---|
| Anandito Satria Asyraf | Universitas Telkom | Machine Learning |
| Rule Lulu Damara | Institut Teknologi Sepuluh Nopember | Machine Learning |
| Muhammad Afief Abdurrahman | Institut Teknologi Bandung | Machine Learning |
| Robbyan Ghoutsu Amadjidi | Universitas Telkom | Cloud Computing |
| Nabila A’idah Diani | Institut Teknologi Sepuluh Nopember | Cloud Computing |
| Habib Fatkhul Rohman | Universitas Dinamika | Mobile Development |
| Aurelio Killian Lexi Verrill | Institut Teknologi Sepuluh Nopember | Mobile Development |
This project aims to develop a smart nutrition tracker application that leverages machine learning, mobile development, and cloud computing. The app will allow users to:
- Scan Food: Quickly analyze food items to obtain nutritional information.
- Predict Weight Classification: Utilize machine learning to provide insights into potential weight trends.
- Track Nutrition: Monitor daily intake and set personalized goals.
- Machine Learning: TensorFlow, standard preprocessing techniques
- Mobile Development: Kotlin, CameraX, Retrofit
- Cloud Computing: Go, Google App Engine, Google Cloud Storage, MySQL, Flask, Google Cloud Run
