Our Project create to assess the quality of green coffee beans, aiding suppliers or farmers in ensuring the quality of their green beans coffee.
Hi everyone! We are from CH2-PS156, nice to meet you:
| ID | Name | Learning Path | University | |
| A296BSY2542 | Tegar Adi Wicaksono | Mobile Development | Universitas Pembangunan Nasional Veteran Jawa Timur |
|
| A662BSX2485 | Ernawati Purnama Zebua | Mobile Development | STKIP Nasional |
|
| C308BSY3213 | Muhammad Hafizh | Cloud Computing | Universitas Riau |
|
| C614BSY3787 | Fajri Arvandi | Cloud Computing | Universitas Nurdin Hamzah |
|
| M282BSY1625 | Nicholas Ryan Jonathan | Machine Learning | Universitas Negeri Padang |
|
| M282BSY1222 | Muhammad Reviza Dekry | Machine Learning | Universitas Negeri Padang |
|
| M308BSY1295 | M Fadhil Pratama | Machine Learning | Universitas Riau |
|
Food Accessibility, Agribusiness, Food Security
Our Tools, IDE, Library and Resources, based on our team's knowledge,
| Role | Tools/IDE/Library | Resources |
| Machine Learning | Git/GitHub | Good Green Bean Coffee Dataset The dataset obtained from Kaggle.com is used to train the machine to know what the shape/image of a good green coffee bean looks like. |
| Google Colaboratory | ||
| Tensorflow | Bad Green Bean Coffee Dataset The dataset obtained from Kaggle.com is used to train the machine to know what the shape/image of a bad green coffee bean looks like. | |
| Python | ||
| Mobile Development | Git/GitHub | - |
| Android Studio | ||
| Retrofit | ||
| Zulu JDK | ||
| Kotlin | ||
| Cloud Computing | Git/GitHub | - |
| Visual Studio Code | ||
| Postman | ||
| Google Cloud Platform | ||
| ExpressJS Framework | ||
| Flask Framework |
see more: CoffeeGit Mobile Development
see more: CoffeeGit Cloud Computing
see more: CoffeeGit Machine Learning