Mokh. Sholihul Hadi, Tusamia Salsabiela, Ilham Ari Elbaith Zaeni, Mhd Irvan
Dieting is crucial for achieving ideal body weight or adopting healthier lifestyles, requiring precise calorie tracking due to varying food nutritional content. To address this, we developed an IoT-based system to monitor daily calorie intake, integrating a Load Cell sensor and HX711 module for accurate food measurement, with data transmitted via NodeMCU to Firebase Realtime Database and displayed on an OLED SSD1306 screen and Flutter-based mobile app. The app manages food data in Cloud Firestore, calculates BMI/BMR, and tracks real-time calorie consumption. Testing confirmed high sensor accuracy (<3% error) and reliable Firebase data transmission, while the app successfully displayed synchronized data and provided dietary insights. The fully integrated system effectively supports low-calorie diet management through real-time monitoring and user-friendly interfaces, demonstrating robust hardware-software synergy for personalized nutrition tracking. Future enhancements will incorporate AI-driven food recognition to expand functionality. © 2025 IEEE.
Universitas Negeri Malang, Dept. of Electrical Engineering and Informatics, east java, Malang, Indonesia; The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan
