Signity is an iOS app that helps people learn BISINDO from different regions in Indonesia. Providing visual learning module & real-time practice by machine learning gesture recognition. Currently, Signity is available at the Test Flight app as an iOS app which can be accessed here or by scanning the QR Code above.
Signity's Video Ad can be accessed at this link.
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Finished design iteration and testing process -
Finished machine learning model training -
Finished iOS app development -
Published app to Test Flight - Develop watchOS app
- Improve machine learning model
- iOS 14.0 and later
- Visual learning modules (Basic letters, words, and daily conversation)
- Real-time practice with feedbacks
- Real-time conversation simulation
- Design Pattern: MVVM
- Language: Swift
- UI Builder: SwiftUI, UIKit
- Database: Core Data
- Machine Learning: CoreML, Vision, TensorFlow
- Other: Lottie for iOS
The machine learning model uses Bidirectional Long Short-Term Memory (Bi-LSTM) as the main layer, followed by 2 Dense layers having 128 and 64 nodes, respectively. The model was trained for 50 epochs using the datasets we created ourselves. The detailed training process can be accessed at Google Colaboratory
| Name | Role | Contact |
|---|---|---|
| Aryadinata | Project Manager | |
| Devina Ranlyca | UI/UX Designer | |
| Hanif Fauzi | UI/UX Designer | |
| Andrean Lay | Developer | |
| Charlie Siagian | Developer |
Copyright © 2021 DAHCA Team. Released under the GNU GPLv3 License.
