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As a Senior Cloud Architecture Engineer, here is a detailed description and prompt for the "Bite Swiped" project, structured for a technical audience.Project Prompt: Bite Swiped - AI-Powered Meal Matching Platform1. Project Overview and Business Objective Project Title: Bite Swiped: Hyper-Personalized Meal Discovery Objective: To design and implement a web and mobile application that uses a romance aesthetic (Tinder/Hinge/Bumble theme) to help users find their next breakfast, lunch, or dinner meal based on deeply personalized preferences and real-time data. The system must support user choice between cooking a meal or ordering takeout.2. Core Functional Requirements1 The application must support the following primary user flows: A. User Onboarding and Preference Profiling Upon entering the application, users must complete a Goal Questions Portal to establish their profile and filtering parameters. The system must capture and store the following information:1 Initial Questions: Dietary restrictions, health limitations, time available (for cooking or ordering), and overall goal with eating habits.1 Detailed Profile Data (Input Goals): Health conditions (e.g., diabetes, pregnancy, allergies), budget (monthly/yearly income or simple ranges), living situation (alone, shared, family), available time (for cooking or waiting), and ingredient access (full kitchen, limited, none).1 B. Meal Option Selection and Swiping Interface Choice Portal: Users select one of two main options: Take out or Cook Your Match.1 Time Association: The system must automatically determine the current meal period (breakfast: 5AM-12PM, lunch: 12PM-4:59PM, dinner: 5PM-11:59PM) based on the browser's time.1 Swiping UI: Users are presented with meal options and can swipe: Right (The Right Match 😍): Indicates the user likes the meal. A "match" icon (like a heart) or word will pop up, and the meal is saved to a separate match page for later viewing.1 Left (The Left Match 😒): Declines the meal, and the interface moves to the next option.1 Rewind Functionality: A "Rewind button" must be implemented to bring back only the previous option in case of accidental decline.1 C. Post-Match Engagement and Detail View The user can navigate to a dedicated page to view all their matched meals in a picture grid. Clicking on a meal photo (interactive button) must display comprehensive details:1 Personalized Message: A message that mimics a human match, such as “Thanks for choosing me 😍, have me on your plate….”.1 Meal Details: Affordability, dietary restrictions, ingredients, prep time, and nutrition facts.1 Health Benefits: Description of what the meal benefits (e.g., good for diabetics, low sodium). This includes specific labels for health benefits, such as Iron-rich, Magnesium support, Mood support nutrients, Gentle on digestion, Pregnancy-safe preparation, and Heart-friendly fats.1 3. Technical Architecture and Data Requirements The solution requires a robust, scalable, and data-intensive architecture relying on external APIs and advanced filtering algorithms. A. API Integrations The platform must integrate with external APIs to source meal and nutrition data, specifically targeting: https://www.themealdb.com/ https://www.mealme.ai/ Additional APIs for receipts/nutrition and for comprehensive takeout food options with nutrient information.1 B. Data Processing and Filtering Algorithm A core component of the platform is the filter algorithm, which ensures the consistency of meal recommendations with the user's condition and preferences. Filtering criteria must include:1 Ingredients1 Calories1 Keyword1 Time (must be automatic)1 An AI agent must be implemented to improve the result quality and personalization.1 4. Potential Future Enhancements (Roadmap) The following features are identified as potential improvements for future development sprints: Allow the user to switch between Takeout and Cook Your Match options at any time.1 Implement an AI agent capable of calling a restaurant and placing an order, or integrating with third-party delivery services like Uber Eats.1 Allow users to manually change between breakfast, lunch, and dinner periods.1 Advanced UI (Optional/Future): Implement camera swapping with AI detection for head movement (left for 'No,' right for 'Yes') and corresponding animation effects.1