Team Name: Makan Meter
Team ID: 6194
Team Members: Low Bing Heng, Tan Jun Yang Adrian
Proposed Level of Achievement: Apollo 11
Makan Meter is a nutrition-focused mobile application designed to help users track their food intake, monitor their nutritional consumption, and achieve their dietary goals. By integrating food recognition technology and a customised meal planner, Makan Meter offers users a seamless experience for logging meals and making healthier food choices.
Whether you’re looking to lose weight, gain muscle, or maintain a balanced diet, Makan Meter provides all the necessary tools to stay on track. The app leverages image recognition powered by OpenAI’s GPT-4o and the Nutritionix database to deliver accurate nutritional information, making the process of tracking food effortless.
- Supabase Authentication: Secure and efficient user sign-up, login, and session management.
- Global Provider: Persistent login, so users don’t need to log in repeatedly.
- Multi-factor Authentication (MFA) and security measures to protect user credentials.
- Personalised Onboarding: Collects user data such as age, weight, height, and dietary goals to estimate daily caloric needs using the revised Harris-Benedict equation.
- Scroll Pickers: Helps users input personal data accurately and avoid mistakes.
- Powered by GPT-4o: Users can scan their meals using the camera feature, and Makan Meter will automatically identify the food items.
- Nutritionix Integration: Provides a comprehensive breakdown of the scanned meal's nutritional content, including calories, macronutrients, and vitamins.
- Manual Search: In cases where the food isn't recognised, users can manually search for their meals using the app’s search bar.
- Daily Summary: A dashboard showing total caloric intake, macronutrients, and water consumption.
- Meal Tracking: Log meals under categories like breakfast, lunch, dinner, and snacks.
- Trend Analysis: Offers insights into user consumption patterns over time, helping to improve dietary habits.
- Customisable Diet Plans: Users can choose from preset meal plans (e.g., Weight Loss, Vegan, Muscle Gain) or customise their own.
- Active Plan Management: The app allows users to track their active meal plan or modify it as needed.
- Daily Meal Reminder: Sends a notification at 6:00 PM daily reminding users to log their meal if they haven’t already.
- Notification History: Users can access a history of past notifications by clicking the bell icon on the home screen.
- Daily Streak Tracking: Encourages users to maintain consistency by tracking the number of consecutive days they log their meals. If a day is missed, the streak resets to 0.
- Frontend: React Native
- Backend: Supabase (authentication, database, and edge functions)
- APIs: Nutritionix, OpenAI GPT-4o for food recognition
- Development Framework: Expo
- Version Control: Git/GitHub
- Download the Expo Go app from the App Store or Google Play Store.
- Scan the provided QR code (found in the app or project documentation) to access the Makan Meter application.
- Limited API Calls: The Nutritionix API has a limit of 200 calls per day, which may affect the app’s performance during peak usage.
- Database Limitations: Supabase's free tier limits storage to 500MB for the database and 1GB for file storage, which may become a constraint as the app scales.
For a detailed development timeline, feature breakdowns, and testing results, please refer to the full project report here.