Company Capstone Project
Partner by Indosat Ooredoo Hutchison
“RePlasc : Waste collection application to increase public awareness about plastic waste and decreasing gas emission”
Click this link to try this app! RePlasc
What do we do in each learning path
- Collect the dataset from Kaggle
- Preprocessing the dataset
- Implement augmentation such as rotation, flip, contrast, zoom using Tensorflow and color manually with OpenCV
- Build the model with transfer learning and convert it to TensorFlow Lite
- Creating virtual machine as backend server in GCP.
- Setting databases
- Creating several APIs of communication in the backend and mobile apps
- Implementing Google Web Client ID
- Designing the UI/UX
- Implement retrofit to retrieve data from API and send data to database through API
- Using shared preference for saving state and save data from API responses
- Implement cameraX
- Implement maps and location features using Google Maps API
- Generating QR code from ID that got from API for confirmation state
- Arnold Sidiprasetija (M2004F0375) - ML - ITS
- Nathanael Hutama Harsono (M2004F0383) - ML - ITS
- Mochammad Romdhoni Zidane Winansyah (M2004F0242) - ML - ITS
- Chesia Grace Natalia (A2004F0393) - MD - ITS
- Hans Fahrezi (A7004F0382)- MD - ITS
- Joseph Saido Gabriel (A2004F0397) - MD - ITS
- Dimas Aditya Maulana Fajri (C2004F0364) - CC - ITS
- Renaka Agusta (C2004F0363) - CC - ITS
- Ramadhan Sanyoto Sugiharso Widodo (C2004F0395) - CC - ITS
- Juni Hadi (Representative from Indosat Ooredoo Hutchison)
- Rahmat Fajri (Machine Learning Mentor from Dicoding)