Prerequisites:

The entire app is built using SwiftUI, Apple's modern framework for building user interfaces across all Apple platforms.

Utilizes VisionKit to power the scanner screen, allowing users to scan food labels and extract relevant information.

Gemini Technology Overview Gemini is a powerful API that leverages machine learning and advanced data analytics to provide real-time insights and predictions. It is particularly useful in applications that require detailed analysis of complex data sets, such as food ingredient analysis for allergen detection.

How to Use Gemini in AllerBite

1. Ingredient Analysis:

Purpose: Use Gemini to analyze food ingredients and detect potential allergens. Implementation: When a user scans a food product, send the ingredient list to the Gemini API. The API will analyze the ingredients and return information about potential allergens. Display the results to the user, highlighting any allergens detected.

2. Recipe Generation:

Purpose: Generate allergen-free recipes based on user preferences and dietary restrictions. Implementation: Collect user preferences (e.g., allergies, dietary restrictions) and send them to the Gemini API. The API will generate a list of recipes that are safe for the user to consume. Display the recipes along with detailed ingredient lists and preparation instructions.

3. Real-Time Alerts:

Purpose: Provide real-time alerts about potential allergens in food products. Implementation: Integrate Gemini's real-time data capabilities to monitor food products and ingredients. When a user is about to consume a product, the app can send a request to Gemini for a real-time analysis. If any allergens are detected, the app will alert the user immediately.

Utilizes Combine for reactive programming and handling asynchronous events, enhancing app responsiveness.

1.) The central hub where users can access various app features and navigate to different sections.

2.) Displays personalized content, such as recommended recipes and allergy alerts.

1.) Allows users to browse through a curated collection of recipes based on their dietary preferences and restrictions.

2.) Includes filters for different cuisines, dietary requirements, and allergen-free recipes.

1.) Secure authentication system for users to log in or create an account

2.) Enables personalized features and data syncing across devices.

1.) Integrates VisionKit to scan food labels and ingredients.

2.) Provides real-time allergy detection and alerts users about potential allergens in scanned products.

1.) Users can input their food allergies, sensitivities, and dietary restrictions.

2.) Utilizes machine learning models powered by Core ML to predict potential allergic reactions and suggest safe alternatives.

Tailored recipe suggestions based on user preferences and dietary needs.

Real-time allergy detection using machine learning algorithms to ensure food safety.

Filter recipes based on dietary requirements, allergens, and cuisine preferences.

Seamless synchronization of user data across devices for a consistent experience.

Intuitive UI design with smooth animations and interactions for enhanced user experience.

1.) Clone the repository to your local machine

2.) Open the project in Xcode

3.) Build and run the app on a simulator or device