Bangkit 2023 Product Based Capstone by Team C23-PS018
| ID | Name | Jobdesk |
|---|---|---|
| M301DKX4208 | Agung Alfatah | Machine Learning: Creating,training,and improving Model. creating the API |
| M122DKY4667 | Taqiyah Nabila Yasmet | Machine Learning: Finding and Preparing dataset, creating the background problem of the app, |
| M013DSX0242 | Aqwam Muhammad Hanisa | Machine Learning: Testing and inferencing Model, Evaluating Model |
| C370DSX2001 | Surya Nurjaman | Cloud Computing: Creating Website for the app, Creating Firebase and firestore for authentication and backend, Deploying ML model with continuous deployment in cloud build, cloud run, and make docker image |
| C301DKX4248 | Kalam Mahardhika | Cloud Computing: Creating Website for the app, Deploying ML model in appengine |
| A370DKX4419 | Pramudia Angga Prahasta | Mobile Development: Creating the mobile app |
Creating A Model to detect the condition, type, and roast level of coffee bean from an image processing, using Transfer learnign from a pre trained model.
Documentation from FastAPI App:
To see and use the app u can go to this Repository
Creating the Mobile App interface for user and creating the backend to interact with database and models.
Documentation :
for more info on the mobile development you can go this Repository