Diabetes is a growing health crisis, particularly in Indonesia, where over 19 million individuals were affected as of 2021—a number projected to reach 28 million by 2045. A significant contributor to this issue is the excessive consumption of sugary packaged drinks, often unbeknownst to consumers.

GlucoScan is here to make a difference by empowering users to easily check the sugar content in packaged beverages, monitor their daily sugar intake, and make healthier drink choices.

• Real-Time Sugar Detection: Instantly detect sugar content in packaged drinks.
• Daily Sugar Monitoring: Track and analyze your daily sugar intake effortlessly.

• M. Iqbal Jaffar
  M764B4KY2569
• Gerard Julian
  M180B4KY1599
• Dennis Lemuel C.
  M232B4KY1046

• Hassan Fachrurrozi
  C002B4KY1746
• Arya Saputra
  C291B4KY0679

• Darryl Azzuri
  A291B4KY1009
• Narapati Keysa A.
  A291B4KY3247

• Scan and Detect: Use the app to scan nutrition labels and determine sugar content.
• Track History: Keep a history of scanned beverages.
• Smart Notifications: Receive reminders and recommendations to stay within healthy limits.
• User-Friendly Design: Built with Material Design 3 for a seamless experience.

• OCR for Label Reading: Powered by Tesseract and EasyOCR to accurately extract sugar information.
• Advanced Image Processing: Utilizes TensorFlow, Keras, and OpenCV to identify nutrition labels.
• Personalized Analytics: Processes and stores data for actionable health insights.

• Secure Infrastructure: Built on Google Cloud Platform (GCP) for scalability and security.
• Integrated Services: Vertex AI for ML model deployment, Firebase for data management, and Cloud Functions for API processing.
• Data Storage: Safe and efficient storage with Google Cloud Storage.

1. Mobile Application
   • Developed in Kotlin using Android Studio.
   • API integration with Retrofit and Firebase Authentication.
2. Machine Learning
   • Sugar content detection via Optical Character Recognition (OCR).
   • Tools: TensorFlow, OpenCV, PaddleOCR.
3. Cloud Backend
   • Google Cloud Functions for API processing.
   • Firebase Firestore and Realtime Database for user data management.

• Diabetes Prevention: Contributing to reducing diabetes risks through awareness and actionable insights.
• Healthier Communities: Encouraging a shift to healthier habits across Indonesia and beyond.

• Multi-language support to expand accessibility.
• Enhanced analytics for premium users.
• More advanced technical architecture.
• Integration with wearable devices for comprehensive health tracking.
• Recommendation feature.