About the project

GlucoFit is a purpose-driven digital health solution addressing Indonesia's growing diabetes crisis through technology and education. With diabetes prevalence rising due to excessive sugar consumption and lack of dietary awareness, GlucoFit empowers users—especially those with busy lifestyles—to take control of their health through smart, automated tracking and personalized guidance.

Key Features:

• Snap a photo of your food
• Instant identification of dishes and ingredients
• Automatic sugar content calculation
• Daily sugar intake monitoring
• Healthy meal recommendations

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Project Goals

• Combat Diabetes Epidemic in Indonesia Create a technological solution that helps reduce diabetes risk by empowering users to make informed dietary choices through accessible, real-time sugar tracking.
• Support Government Health Initiatives Align with Indonesian government efforts to improve population health and reduce healthcare burden from preventable diseases.
• Leverage Cutting-Edge AI Demonstrate practical application of computer vision and machine learning to solve real-world health challenges in developing markets.
• Build Scalable Cloud Architecture Create a cloud-native application that can scale to millions of users while maintaining performance and reliability.

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End Results

• 25 APIs Integrated - Comprehensive backend services connecting mobile app with ML models and database
• 3 Machine Learning Models - Achieved >80% accuracy in food recognition and sugar estimation
• 3,000+ Recipe Database - Curated healthy Indonesian recipes with verified nutrition data
• Cloud-Native Architecture - Scalable infrastructure deployed on Google Cloud Platform
• Real-Time Processing - Instant food recognition results in under 3 seconds

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