Summary
FitFood is an AI-powered health application developed for the Indonesia Inventors Day (IID) 2024 competition in Bali, where it earned a Bronze Medal. The app helps users improve their wellness through personalized nutrition and exercise recommendations based on Body Mass Index (BMI). It includes a chatbot that can engage in natural conversations and provide diet or workout suggestions. FitFood also features image recognition, enabling users to scan their food and instantly see the nutritional breakdown and calories.
Problem
Many people struggle to maintain a balanced diet and exercise routine due to the lack of accessible and personalized health insights. Conventional health apps often require manual data entry and do not adapt recommendations dynamically based on user profiles. FitFood aims to solve this by offering AI-driven personalization and intuitive input methods (chat and camera).
Goal / Use Case
- Provide personalized diet and exercise recommendations based on BMI and activity level.
- Enable users to get real-time AI recommendations via an in-app chatbot.
- Allow users to scan their meals using the camera for instant calorie and nutrition analysis.
- Deliver a user-friendly experience built with modern Android technologies such as Jetpack Compose and MVVM.
Impact
- Helped users become more aware of their daily nutritional intake and exercise balance.
- Demonstrated the integration of AI and image recognition in health-related mobile apps.
- Received the Bronze Medal at Indonesia Inventors Day 2024 (IID Bali).
- Served as a showcase of modern Android architecture and applied machine learning in a practical health context.
Development Duration
Developed within 1.5 months, including research, UI/UX design, model integration, and chatbot fine-tuning. The development stack leveraged Kotlin, Firebase, and Jetpack Compose with a clean MVVM architecture.