Vitalyzer: AI-Powered Food Scanner and Calorie Tracker

Contents

• Overview
• Key Features
• Technologies Used
• Screenshots
• How to Run the Project
• Database Schema
• Features in Development
• License
• Contact

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Overview

Vitalyzer is a mobile application designed to revolutionize personal health management. By combining AI-driven tools with an intuitive user interface, the app enables users to track their daily caloric intake, macronutrient consumption, water intake, and BMI level. The app also features an AI-powered food scanner that provides detailed insights into meals and drinks, making healthy living more accessible and personalized.

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Key Features

• AI-Generated Nutrition Plans
  Personalized daily calorie, macronutrient (carbs, protein, fat), and water intake recommendations based on user physical characteristics.

• AI-Powered Food Scanner
  Capture and analyze meals or drinks to receive estimated caloric values and possible ingredients.

• Daily Nutrition Tracker
  Monitor daily progress with interactive charts for calories, macronutrients, and water intake.

• BMI Calculator with AI-Generated Advice
  Calculate BMI and receive personalized medical advice generated by the AI tool.

• User Profile Management
  Update personal details, including height, weight, age, and gender, with recalculations for nutrition plans and BMI.

• Secure Cloud Integration
  Sync user data, including profile information and progress, across devices using Firebase Cloud Firestore and Cloud Storage.

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Technologies Used

• Front-end: Flutter with Dart
• Local Storage: SQLite and SharedPreferences
• Cloud Services: Firebase Authentication, Firestore, and Cloud Storage
• AI Integration: Gemini 1.5 Flash model via Google Generative AI
• State Management: GetX Flutter package
• Data Source: Food Nutrition dataset

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Screenshots

Snapshots showcasing Vitalyzer's features and interfaces:

About You	Home Page	BMI Gauge & Medical Advice	Camera Stream	Image Analysis

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How to Run the Project

1. Clone the repository:

   git clone https://github.com/veysel-ozdemir/vitalyzer.git

2. Naivgate to the application directory (consciously made double directory change):

   cd vitalyzer;cd vitalyzer

3. Install dependencies

   flutter pub get

4. Configure Firebase

   • Create a new Firebase project
   • Download and add Google Services configuration files
   • Enable Authentication, Cloud Firestore, and Storage

5. Set up Gemini API

   • Obtain API credentials from Google Cloud Console
   • Configure API access in the project

6. Run the application

   flutter run

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Database Schema

The application uses SQLite for local storage with the following main tables:

• Food: Comprehensive nutritional information
• UserProfile: User credentials and physical characteristics
• UserNutrition: Daily nutrition tracking data

Entity-Relationship Diagram of the SQLite Database

Features in Development

• Cloud-Based Data Synchronization: Enable seamless data access across multiple devices while maintaining offline functionality.
• Offline AI Capabilities: Implement pre-trained local AI models for offline usage.
• Improved Image Processing: Enhance accuracy for diverse food types and conditions.
• Expanded Database: Include more regional cuisines and dietary-specific options.
• Physical Exercise Features: Add exercise videos to track calorie burn.
• Motivational Tools: Incorporate fasting programs and daily motivation notifications.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions or collaboration, reach out at:

• Email: [email protected]
• GitHub: veysel-ozdemir
• LinkedIn: Veysel Ozdemir
• Google Play Store: Developer Page