NutriTrack – Android Health & Nutrition Tracking App

NutriTrack is an Android health application built with Jetpack Compose, MVVM architecture, and Room Database.
It supports patients in logging their dietary habits, viewing nutrition scores, and receiving AI-driven tips, while clinicians can monitor group averages and patterns.

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Features

Patient Module

• Login & Registration: Secure account claiming with user ID, phone number, and password:contentReference[oaicite:0]{index=0}.
• Food Intake Questionnaire: Records daily habits, persona type, and meal/sleep timings:contentReference[oaicite:1]{index=1}.
• Nutrition Scoring: Displays HEIFA-based total and category-level scores (fruits, vegetables, grains, protein, fats, etc.):contentReference[oaicite:2]{index=2}:contentReference[oaicite:3]{index=3}.
• NutriCoach:
  • Fetches fruit data using the Fruity API:contentReference[oaicite:4]{index=4}.
  • Generates personalized motivational tips via Google Gemini AI, stored in Room for future retrieval:contentReference[oaicite:5]{index=5}:contentReference[oaicite:6]{index=6}.
• Settings: Displays user profile, allows logout, and access to clinician mode:contentReference[oaicite:7]{index=7}.

Clinician Module

• Clinician Login: Secure access with a key (dollar-entry-apples):contentReference[oaicite:8]{index=8}.
• Dashboard: Views average male/female scores and receives AI-generated insights about patient patterns:contentReference[oaicite:9]{index=9}:contentReference[oaicite:10]{index=10}.

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Technical Stack

• Architecture: MVVM + Repository pattern:contentReference[oaicite:11]{index=11}:contentReference[oaicite:12]{index=12}:contentReference[oaicite:13]{index=13}
• UI: Jetpack Compose (Material 3)
• Database: Room (entities: Patient, FoodIntake, NutriCoachTip):contentReference[oaicite:14]{index=14}:contentReference[oaicite:15]{index=15}:contentReference[oaicite:16]{index=16}
• Data Access: DAOs for patients, food intake, and AI tips:contentReference[oaicite:17]{index=17}:contentReference[oaicite:18]{index=18}:contentReference[oaicite:19]{index=19}
• Networking: Retrofit (Fruity API):contentReference[oaicite:20]{index=20}
• AI Integration: Google Gemini API for motivational feedback & clinician insights:contentReference[oaicite:21]{index=21}
• Persistence: SharedPreferences for sessions & questionnaire state:contentReference[oaicite:22]{index=22}
• Tools: Kotlin, Coroutines, LiveData, Android Studio

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Results

• Built a fully functional mobile app supporting both patient and clinician workflows.
• Achieved data persistence with Room Database and SharedPreferences.
• Integrated real-time nutrition data from the Fruity API.
• Delivered AI-powered coaching and insights with Gemini API.
• Created a modern, responsive UI with Jetpack Compose.

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Project Structure

• Activities: MainActivity, LoginActivity, UserRegisterActivity, QuestionnaireActivity, ScoreActivity, ClinicianLoginActivity, ClinicianDashboardActivity.
• ViewModels: LoginViewModel, RegisterViewModel, ScoreViewModel, QuestionnaireViewModel, NutriCoachViewModel, AIViewModel, ClinicianViewModel, InsightsViewModel, SettingsViewModel.
• Repositories: PatientRepository, QuestionnaireRepository, ScoreRepository.
• Entities: Patient, FoodIntake, NutriCoachTip, Fruit.
• Database & DAOs: AppDatabase, PatientDao, FoodIntakeDao, NutriCoachTipDao.

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Author

Nashmia Shakeel