Project Proposal: NutriTrack - AI-Powered Nutrition and Diet Tracking App
Abstract
NutriTrack is an AI-powered nutrition and diet tracking application designed to help users log daily food intake, analyze nutritional consumption, and receive personalized health recommendations.
The key quality attributes of this system are:
- Scalability – Supporting high concurrent user activity and efficiently handling large-scale food database queries.
- Interoperability – Seamless integration with wearable devices (Apple Watch, Fitbit) and health apps (Google Fit, MyFitnessPal) to ensure data synchronization.
- Reliability – Ensuring accurate storage of nutritional data with offline support and automatic cloud backups for uninterrupted user experience.
By leveraging AI, NutriTrack provides insights into users’ dietary habits, aligning them with health goals (weight loss, muscle gain, balanced diet), and enhances the overall nutrition management experience.
Author
Name: Jiangbei Ren
Student number: 48362018
Functionality
NutriTrack provides the following core features:
- Food Logging & Scanning – Users can log meals through text input, barcode scanning, or voice commands.
- Nutritional Analysis – Automatic calculation of calories, protein, carbohydrates, fats, and comparison with daily recommended intake.
- Health Goal Setting – Users can set weight loss, muscle gain, or maintenance goals, and receive AI-driven dietary recommendations.
- Wearable & Health App Integration – Sync with Apple Health, Google Fit, and Fitbit to incorporate fitness data into nutritional tracking.
- Recipe Recommendations – AI-based meal recommendations tailored to users’ dietary preferences and goals.
- Diet Reports – Weekly reports on food consumption trends, including nutrient balance and areas for improvement.
Scope
The Minimum Viable Product (MVP) will implement the following features:
- Food Logging (Manual Entry + Barcode Scanning) – Users can manually log food or scan barcodes to input meals.
- Basic Nutritional Analysis – Providing calorie, protein, fat, and carbohydrate breakdowns.
- Health Goal Tracking – Users select a goal (e.g., weight loss, muscle gain) and receive calorie intake suggestions.
- Google Fit & Apple Health Sync – Syncing only steps and calorie expenditure at this stage.
- Basic Weekly Reports – Generating simple nutrition intake trends for users.
Future expansion features include AI-powered voice food logging, personalized meal recommendations, multi-device synchronization, and in-depth fitness integration.
Quality Attributes
Scalability
NutriTrack must support thousands of users logging food entries simultaneously while efficiently handling real-time food database queries.
Implementation:
- NoSQL (MongoDB) + Redis Caching to optimize query performance.
- Microservices Architecture to allow independent scalability of modules.
- AWS Auto Scaling & Load Balancing to maintain stability under high user traffic.
Interoperability
Users’ health data is often stored in Apple Health, Google Fit, MyFitnessPal, requiring seamless data synchronization.
Implementation:
- REST API & Webhooks for third-party integration.
- OAuth 2.0 authentication to connect with Apple/Google accounts.
- Standardized JSON & FHIR data format for seamless compatibility.
Reliability
Users rely on NutriTrack for daily nutrition tracking. Data loss or inconsistencies could negatively impact their health plans.
Implementation:
- Cloud-based automatic backups to prevent data loss.
- Offline Mode – Users can log food offline, with automatic synchronization upon reconnection.
- ACID-compliant transactions to ensure nutritional data integrity.
Evaluation
| Quality Attribute |
Evaluation Method |
| Scalability |
Perform stress testing with Apache JMeter simulating 10,000 concurrent users, ensuring response time remains < 200ms. |
| Interoperability |
Test data synchronization across Google Fit, Apple Health, and MyFitnessPal, verifying accuracy and consistency. |
| Reliability |
Conduct database failure recovery tests to ensure user data persists after network disruptions or device changes. |
Conclusion
NutriTrack empowers users to track nutrition effortlessly, analyze dietary habits, and integrate with health platforms for a holistic wellness experience. By leveraging AI-driven insights, the application ensures users achieve their health goals with accurate and actionable dietary recommendations.