• B23-A293 Achmad Ilham Imanuddin - Android/Mobile Development, Project Management, Ideation/UI & UX
• B23-A066 Arra'Di Nur Rizal - Cloud and Back End, Machine Learning, Project Management, Business/Commerce/Ideation, Ideation/UI & UX

• Surya Lestari – M321DSX0564 - Machine Learning - Universitas Prasetiya Mulya
• Nathaniel Tanuwijaya - M321DSX0567 - Machine Learning - Universitas Prasetiya Mulya
• Daniar Putri Airlangga - M151DSY1468 - Machine Learning - Universitas Brawijaya
• Bryant Christopher Hihola - C264DSX1385 - Cloud Computing - Universitas Multimedia Nusantara
• Felix Ferdianto - C264DSX1384 - Cloud Computing - Universitas Multimedia Nusantara
• Putra Aldo Oswald - A264DSX2459 - Mobile Development - Universitas Multimedia Nusantara

Indonesia as a democratic country has 275 million people and there will be approximately 200 million voters in the next 2024 election. According to national election data from 2004 to 2019, more than 20% of voters chose to abstain for several reasons including the necessity to vote in a specific polling station which sometimes burdens the voters. Therefore we want to improve user experience by creating a flexible mobile election system that can be accessed anywhere. To ensure the election principle stays protected even though the election is in the form of online, facial recognition is used in order to maintain integrity. These systems allow voters to vote anywhere even if they are not in their hometown and even if they are abroad. At the same time, this system also increases the accuracy and efficiency.

1. Suara-Kita-ML-Testing-Training-Model. Machine learning training model includes jupyter notebook, h5 file, and python.
2. Suara-Kita-ML-FlaskAPI-OCR. Machine learning OCR models with Flask API connected to gcloud storage.
3. Suara-Kita-ML-FlaskAPI-SiameseNetwork. Machine learning Siamese model with Flask API connected to gcloud storage and database deployed using Google Cloud Run.

Suara-Kita-API. API Server for login, register, and voting of Suara Kita Application.

Suara-Kita-App. Suara Kita Application using Android Studio with Kotlin.