I envision a web application called "Recipe Remix" that allows users to input a list of ingredients they have on hand and receive recipe suggestions that utilize those ingredients, minimizing food waste and inspiring creativity in the kitchen. It's for home cooks of all skill levels who want to reduce food waste, save money, and discover new recipes based on what they already have. This app helps users make the most of their existing groceries, reduce their environmental impact, and avoid the "what should I cook tonight?" dilemma.
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Recipe Remix - Product Requirements Document (PRD)
1. Introduction/Overview
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Product Vision: Recipe Remix is a web application that empowers users to minimize food waste and discover delicious recipes by suggesting meals based on the ingredients they already have.
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Goals and Objectives:
- Achieve 10,000 active users within the first 6 months.
- Achieve a 4.5-star rating or higher on major app review platforms.
- Convert 5% of free users to premium subscribers within the first year.
- Achieve profitability within 2 years.
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Target Audience:
- Primary: Budget-conscious and environmentally-aware millennials and Gen Z individuals or families who are comfortable with technology and seeking to reduce their environmental footprint.
- Secondary: Families and older generations with similar values and motivations.
2. Features
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Feature Name: Ingredient Input
- Description: Users can input the ingredients they have on hand using text input. The system provides auto-suggestions for ingredient names and allows users to specify quantities.
- User Stories:
- As a user, I want to quickly enter the ingredients I have using text input so that I can find recipes.
- As a user, I want the system to suggest ingredient names as I type so that I can enter ingredients faster and avoid typos.
- As a user, I want to be able to specify the quantity of each ingredient I have so that the recipe suggestions are more accurate.
- Acceptance Criteria:
- The system accepts text input for ingredient names.
- The system provides auto-suggestions for ingredient names as the user types.
- The system allows users to specify quantities and units for each ingredient.
- The system allows users to easily add, edit, and remove ingredients from the list.
- Priority: High (Must have). This is the core functionality of the app.
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Feature Name: Recipe Suggestions
- Description: The system generates a list of recipes that best match the user's inputted ingredients, prioritizing recipes that utilize the most ingredients and minimize waste.
- User Stories:
- As a user, I want to see recipes that use as many of my inputted ingredients as possible so that I can minimize food waste.
- As a user, I want the recipes to be sorted by how well they match my ingredients so that I can quickly find the best options.
- As a user, I want to see a clear indication of how many of my ingredients are used in each recipe (e.g., a percentage or visual indicator).
- Acceptance Criteria:
- The system generates recipe suggestions based on the user's inputted ingredients.
- Recipes are ranked based on the percentage of ingredients matched.
- The system displays the number or percentage of matched ingredients for each recipe.
- The algorithm prioritizes recipes that minimize the number of leftover ingredients.
- Priority: High (Must have). This is the core value proposition of the app.
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Feature Name: Recipe Details View
- Description: Users can view detailed information about each recipe, including the full ingredient list, step-by-step instructions, photos/videos, and user ratings.
- User Stories:
- As a user, I want to see clear and concise instructions for each recipe so that I can easily follow them.
- As a user, I want to see a photo of the finished dish so that I know what to expect.
- Acceptance Criteria:
- The system displays the full ingredient list for each recipe.
- The system displays clear, step-by-step instructions for each recipe.
- The system displays a high-quality photo or video of the finished dish.
- The system displays user ratings and reviews (if available).
- Priority: High (Must have). Users need to be able to see the full recipe details.
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Feature Name: Saving Recipes
- Description: Users can save their favorite recipes for later access. Limited to a certain small number of recipes for free users.
- User Stories:
- As a free user, I want to be able to save a small number of favorite recipes.
- Acceptance Criteria:
- The system allows free users to save up to 5 recipes.
- The system allows users to create accounts to save their information.
- The system provides a clear and easy way to access saved recipes.
- Priority: High (Must have).
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Feature Name: Basic Filtering
- Description: Users can filter recipes based on prep time and cook time.
- User Stories:
- As a user, I want to filter recipes by cook and prep time.
- Acceptance Criteria:
- The system allows users to filter recipes based on prep time.
- The system allows users to filter recipes based on cook time.
- Priority: High (Must have).
3. User Interface (UI) Requirements
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Overall UI Style:
- Clean, modern, and intuitive design.
- Earthy color palette (greens, browns) with brighter accents.
- High-quality food photography.
- Emphasis on visual clarity and ease of use. (Refer to UX Design Document for details.)
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Key Screens/Pages:
- Ingredient Input Screen
- Recipe Results Screen
- Recipe Details Screen
- User Profile/Account Screen
4. Functional Requirements
- Data Input: The system must allow users to input ingredient data via text.
- Data Processing: The system must use an algorithm to match user-inputted ingredients to recipes in the database. The algorithm should prioritize recipes that use the most ingredients and minimize waste.
- Data Output: The system must display recipe suggestions in a clear and organized manner, ranked by relevance.
- Error Handling: The system should handle invalid input gracefully (e.g., misspelled ingredient names) and provide helpful error messages.
- User Authentication: Secure user accounts with password protection and email verification.
5. Non-Functional Requirements
- Performance:
- Recipe suggestions should load within 2 seconds.
- The app should be responsive and feel fast to use.
- Scalability: The system should be able to handle a large number of users and recipes (hundreds of thousands). Design for horizontal scalability.
- Security: User data (including passwords and saved recipes) must be stored securely. Implement appropriate security measures to prevent unauthorized access.
- Usability: The app should be intuitive and easy to use, even for users with limited technical skills.
- Reliability: The system should be highly reliable, with minimal downtime. Aim for 99.9% uptime.
- Maintainability: The codebase should be well-documented and easy to maintain and update.
- Portability: Initially a web application, with potential for future mobile app development (iOS and Android).
- Compliance: Adhere to all relevant data privacy regulations (e.g., GDPR, CCPA).
6. Release Criteria
- MVP (Minimum Viable Product):
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Ingredient input (text).
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Recipe suggestions (with ranking algorithm).
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Recipe details view.
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Ability to filter recipes based on prep/cook time.
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Basic user accounts (simplified – email/password registration and login, ability to save up to 5 recipes).
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All High Priority Features are fully functional and tested.
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User acceptance testing (UAT) has been completed with positive results.
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All critical and major bugs have been resolved.
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7. Open Issues/Risks
- Algorithm Accuracy: The accuracy of the recipe suggestion algorithm is crucial for the success of the app. This needs to be carefully developed and tested.
- Recipe Database: Building a comprehensive and high-quality recipe database will be an ongoing effort. Consider partnerships or licensing options.
- Scalability: Ensuring the app can handle a large number of users and recipes is important for the future.
- Monetization: The freemium model needs to be carefully balanced to encourage conversion to premium subscriptions without alienating free users.
8. Future Considerations
- Image Recognition: Allow users to input ingredients by taking a photo of their fridge or pantry.
- Community Features: Allow users to share their own recipes, tips, and photos.
- Voice Input: Allow users to input ingredients using their voice.
- Grocery Delivery Integration: Partner with grocery delivery services to allow users to order ingredients directly from the app.
- Smart Kitchen Appliance Integration: Connect with smart kitchen appliances (e.g., smart refrigerators) to automatically track ingredients.
- Cooking Mode: Voice assisted step-by-step instructions.
- Meal Planning (Premium): Allows users to create weekly meal plans.
- Smart Grocery List (Premium): Users can compile a grocery list.
- Advanced Filtering (Premium): Users can filter by dietary restrictions.
UX Designer Deliverables:
- User Flow Diagram:
graph TD
A[Start] --> B(Open App);
B --> C{Ingredient Input};
C --> D[Text Input];
D --> G(Ingredient Management);
G --> J[Find Recipes];
J --> K(Recipe Suggestions);
K --> L[View Recipe Details];
L --> M{Save Recipe};
M --> N[Save Recipe];
L --> K;
N --> Q[End];
K --> Q;
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Wireframes:
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Ingredient Input:
- Large, prominent search bar at the top for text input.
- Auto-suggestion dropdown below the search bar.
- List of currently added ingredients below, with options to edit quantity or remove.
- "+" button to add more ingredients.
- "Clear All" button.
----------------------------------- | [ Search for Ingredient... ] | (Search Bar) ----------------------------------- | - Chicken Breast (2) [x] | (Ingredient List) | - Onion (1) [x] | | - Garlic (3 cloves) [x] | | - Rice (1 cup) [x] | ----------------------------------- | [ + Add Ingredient ] | (Add Button) ----------------------------------- | [ Clear All ] | (Clear Button) ----------------------------------- | [Find Recipes] -------------------- -
Recipe Results:
- List of recipe cards, sorted by relevance (best match first).
- Each card shows: Recipe title, image, short description, percentage of ingredients matched (e.g., "80% match"), estimated cooking time.
- Filtering options at the top.
- "Load More" button at the bottom.
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Recipe Details:
- Recipe title at the top.
- Large image/video of the finished dish.
- Full ingredient list (with checkmarks to indicate which ones you have).
- Step-by-step instructions.
- "Save Recipe" button.
- User reviews and ratings section.
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User Profile/Account Screen: simple log in/sign up, and saved recipes..
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UI Style Guide:
- Colors: Earthy tones (greens, browns) to reflect the natural and waste-reduction themes. Accents of brighter colors (yellow, orange) for calls to action.
- Fonts: Clean, modern sans-serif fonts for readability (e.g., Open Sans, Lato).
- Imagery: High-quality photos of food and ingredients, emphasizing freshness and visual appeal.
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Accessibility Considerations: (For Future development.)
- Sufficient color contrast: Ensure text is easily readable against backgrounds.
- Keyboard navigation: All functionality should be accessible via keyboard.
- Screen reader compatibility: Use appropriate ARIA attributes for screen readers.
- Voice input: Provide alternative input methods for users with motor impairments.
Software Architect Deliverables:
- System Architecture Diagram:
graph LR
A[User's Web Browser – Frontend] -- API Requests --> B(API Gateway);
B -- Request Routing --> C[Ingredient Service];
B -- Request Routing --> D[Recipe Service];
B -- Request Routing --> E[User Service];
C --> G[Ingredient Database];
D --> H[Recipe Database];
E --> I[User Database];
B -- Authentication --> E;
subgraph Backend
C
D
E
end
subgraph Databases
G
H
I
end
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Technology Stack Recommendation:
- Frontend: React (JavaScript library for building user interfaces), HTML, CSS.
- Backend: Node.js with Express.js (for building the API).
- Database: PostgreSQL (relational database for structured data).
- Cloud Provider: AWS (Amazon Web Services) or Google Cloud Platform (GCP) for hosting.
- Search: Algolia or Elasticsearch for fast and efficient ingredient and recipe search.
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Data Model:
Users: user_id (INT, PRIMARY KEY) username (VARCHAR) email (VARCHAR) password (VARCHAR) subscription_tier (VARCHAR) Ingredients: ingredient_id (INT, PRIMARY KEY) ingredient_name (VARCHAR) Recipes: recipe_id (INT, PRIMARY KEY) recipe_name (VARCHAR) description (TEXT) instructions (TEXT) image_url (VARCHAR) prep_time (INT) cook_time (INT) total_time (INT) Recipe_Ingredients: recipe_id (INT, FOREIGN KEY referencing Recipes) ingredient_id (INT, FOREIGN KEY referencing Ingredients) quantity (VARCHAR) unit (VARCHAR) PRIMARY Key (recipe_id, ingredient_id) User_Saved_Recipes: user_id (INT, FOREIGN KEY referencing users) recipe_id (INT, FOREIGN KEY referencing Recipes) PRIMARY KEY (user_id, recipe_id) -
API Design:
/api/ingredients(GET - search for ingredients, POST - add a new ingredient)./api/recipes(GET - search for recipes based on ingredients, GET - get recipe details by ID)./api/users(POST - create user, GET - get user details, PUT - update user details)./api/users/{user_id}/saved-recipes
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Scalability Plan:
- Use a cloud provider that allows auto-scaling (AWS or GCP)
- Employ load balancing to properly route traffic.
- Caching of search results for both ingredients and recipes so common results can be served much faster.
- Database replication.
- Chosen Style: Microservices, with elements of Event-Driven architecture.
- Rationale:
- Microservices: This style is chosen for its scalability, maintainability, and fault isolation. Each core function (ingredient management, recipe management, user management) will be a separate service. This allows us to scale individual services independently based on demand, update services without affecting others, and use different technologies for different services if needed (though we'll keep it consistent for the MVP). This also aligns well with the future plan for mobile apps and potential third-party integrations.
- Event-Driven (Elements): We'll use event-driven principles for certain interactions, particularly for things like updating search indexes after data changes (e.g., a new recipe is added). This promotes loose coupling between services. A full-blown event-driven architecture isn't required for the MVP, but this element will make future expansion easier.
- Diagram:
graph LR
A[User's Web Browser – React Frontend] -- HTTPS Requests --> B(API Gateway - AWS API Gateway);
B -- Request Routing --> C[Ingredient Service – Node.js/Express];
B -- Request Routing --> D[Recipe Service – Node.js/Express];
B -- Request Routing --> E[User Service – Node.js/Express];
C --> G[Ingredient Database – PostgreSQL];
D --> H[Recipe Database – PostgreSQL];
E --> I[User Database – PostgreSQL];
B -- Authentication --> E;
D -.-> J((Search Index - Algolia));
C -.-> J;
subgraph Backend
C
D
E
end
subgraph Databases
G
H
I
end
style J fill:#f9f,stroke:#333,stroke-width:2px
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Component Name: Web Frontend
- Description: The user interface that users interact with in their web browsers. Handles user input, displays data, and communicates with the backend API.
- Technology: React (JavaScript library), HTML, CSS.
- Interactions: Sends API requests to the API Gateway. Receives data from the API Gateway and renders it.
- Rationale: React is chosen for its component-based architecture, which promotes reusability and maintainability. It is also well-suited for building dynamic and interactive user interfaces.
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Component Name: API Gateway
- Description: A single entry point for all API requests from the frontend. Handles routing requests to the appropriate backend services, authentication, and potentially rate limiting.
- Technology: AWS API Gateway.
- Interactions: Receives requests from the frontend. Routes requests to the Ingredient Service, Recipe Service, or User Service.
- Rationale: AWS API Gateway is a fully managed service that provides scalability, security, and monitoring out of the box. It simplifies the process of creating and managing APIs. It also integrates well with other AWS services.
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Component Name: Ingredient Service
- Description: Manages the ingredient data. Handles searching for ingredients (auto-suggestions), adding new ingredients (to the moderation queue), and retrieving ingredient details.
- Technology: Node.js with Express.js.
- Interactions: Receives requests from the API Gateway. Reads and writes data to the Ingredient Database. Publishes events to a message queue (for search index updates).
- Rationale: Node.js/Express is chosen for its performance and ease of development. The non-blocking, event-driven nature of Node.js is well-suited for handling a large number of concurrent requests.
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Component Name: Recipe Service
- Description: Manages the recipe data. Handles searching for recipes based on ingredients, retrieving recipe details, and managing the recipe lifecycle (creation, updates, deletion – by admins, not users in the MVP).
- Technology: Node.js with Express.js.
- Interactions: Receives requests from the API Gateway. Reads and writes data to the Recipe Database. Publishes events to update the Search Index.
- Rationale: Same as the Ingredient Service.
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Component Name: User Service
- Description: Manages user accounts. Handles user registration, login, profile management (limited in MVP), and saving/retrieving favorite recipes.
- Technology: Node.js with Express.js.
- Interactions: Receives requests from the API Gateway. Reads and writes data to the User Database.
- Rationale: Same as the Ingredient Service. Handles user authentication and authorization.
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Component Name: Search Index
- Description: Provides fast and efficient search capabilities for ingredients and recipes.
- Technology: Algolia.
- Interactions: Receives updates from the Ingredient Service and Recipe Service (via events). Provides search results to those services.
- Rationale: Algolia is a hosted search service that provides excellent performance and scalability. It simplifies the implementation of complex search features and is within budget for the MVP's anticipated usage. It also supports features like typo tolerance and filtering, which will be useful in the future. It also can support the advanced searching requirements that are planned.
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Component Name: Message Queue
- Description: Facilitates asynchronous communication for necessary tasks, primarily for updates, such as updating the Search Index after a recipe or ingredient change.
- Technology: AWS SQS (Simple Queue Service).
- Interactions: Receives messages from the Ingredient and Recipe Services and triggers the Search Index.
- Rationale: SQS is a fully managed message queuing service that provides scalability and reliability. It decouples the services and ensures that the search database updates don't block the main API calls.
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Component Name: Not Depicted
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Description: A moderation panel, to be manually used to add new ingredients and recipes, by administrators.
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Technology: React, using the same API as the web app.
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Interactions: Will use the Recipe and Ingredient Service to make updates.
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Rationale: By using the same API endpoints, it minimizes development overhead.
- Database(s):
- Ingredient Database: PostgreSQL. Stores ingredient data (ingredient ID, name).
- Recipe Database: PostgreSQL. Stores recipe data (recipe ID, name, description, instructions, image URL, prep time, cook time, total time).
- User Database: PostgreSQL. Stores user data (user ID, username, email, password hash, subscription tier).
- Rationale: PostgreSQL is a robust, reliable, and open-source relational database. It's well-suited for structured data and supports features like foreign keys and transactions, which are important for data integrity. It's also cost-effective and available on both AWS and GCP. Using a single database technology simplifies management for the MVP.
- Data Storage:
- Data will be stored within managed database instances on the chosen cloud provider (AWS RDS for PostgreSQL or Cloud SQL for PostgreSQL on GCP).
- Regular automated backups will be configured.
- Data will be archived according to a defined retention policy (long-term storage in a cost-effective storage tier like AWS S3 Glacier or Google Cloud Storage Nearline/Coldline).
- Data Flow:
- Users interact with the React frontend.
- The frontend sends API requests to the AWS API Gateway.
- The API Gateway routes requests to the appropriate service (Ingredient, Recipe, or User).
- The services interact with their respective PostgreSQL databases to read or write data.
- The Recipe and Ingredient Services publish messages to the AWS SQS queue.
- The Search Index (Algolia) is updated based on queued messages.
- The services return data to the API Gateway.
- The API Gateway returns data to the frontend.
- The frontend renders the data for the user.
- Registered Administrators can add/remove/edit through a separate panel.
- Environment(s):
- Development: Local development environments for each developer (using Docker containers for consistency).
- Staging: A pre-production environment that mirrors the production environment as closely as possible. Used for testing before deploying to production.
- Production: The live environment that users interact with.
- Deployment Process:
- We will use a CI/CD (Continuous Integration/Continuous Deployment) pipeline.
- Code changes will be pushed to a Git repository (e.g., GitHub, GitLab, Bitbucket).
- A CI/CD tool (e.g., Jenkins, AWS CodePipeline, CircleCI, GitHub Actions) will automatically build the code, run tests, and create Docker images, on a push to the Development branch.
- For deployment to staging, a manual approval step is required.
- For deployment to production, another manual approval step will be required.
- Deployments will use a rolling update strategy to minimize downtime.
- Infrastructure:
- Cloud Provider: AWS (preferred, based on the UX Designer's suggestion and its comprehensive services).
- Compute: AWS ECS (Elastic Container Service) or AWS EKS (Elastic Kubernetes Service) for running the Node.js/Express services in Docker containers. EKS is preferred for better future scalability.
- Database: AWS RDS for PostgreSQL.
- API Gateway: AWS API Gateway.
- Search: Algolia (hosted service).
- Message Queue: AWS SQS
- CDN: AWS CloudFront (for caching static assets and improving performance).
- Networking: VPC (Virtual Private Cloud) for network isolation.
- Authentication:
- Users will be authenticated using JSON Web Tokens (JWTs).
- The User Service will generate JWTs after successful login.
- JWTs will be stored securely on the client-side (e.g., in an HTTP-only cookie).
- The API Gateway will validate JWTs for each request.
- Password hashing will be done using a strong, one-way hashing algorithm (e.g., bcrypt or Argon2).
- Future: Implement OAuth 2.0 for integration with third-party authentication providers.
- Authorization:
- Role-based access control (RBAC) will be implemented. For the MVP, there will be two roles: "user" and "admin".
- The User Service will manage user roles.
- API endpoints will be protected based on user roles.
- Data Security:
- Data at rest will be encrypted using the encryption features provided by AWS RDS.
- Data in transit will be encrypted using HTTPS (TLS/SSL).
- Regular security audits will be conducted.
- Input validation will be performed on all API endpoints to prevent injection attacks (SQL injection, NoSQL injection, cross-site scripting).
- Vulnerability Management:
- Regularly update dependencies to patch security vulnerabilities.
- Use a vulnerability scanning tool to identify potential security issues in the codebase and infrastructure.
- Follow OWASP (Open Web Application Security Project) best practices.
- Scaling Strategy:
- Horizontal Scaling: The microservices architecture allows us to scale each service independently. We will use AWS Auto Scaling to automatically scale the number of instances of each service based on demand (CPU utilization, memory usage, request latency).
- Database Scaling: AWS RDS for PostgreSQL supports read replicas, which can be used to offload read traffic from the primary database instance. Connection pooling will be used to manage the number of database connections.
- Performance Optimization:
- Caching: Use a CDN (AWS CloudFront) to cache static assets (images, CSS, JavaScript files). Use caching within the services where appropriate (e.g., caching frequently accessed recipe data). Algolia provides built-in caching for search results.
- Database Optimization: Use appropriate database indexes to speed up queries. Optimize database queries to minimize execution time. Use connection pooling.
- Asynchronous Tasks: Use the message queue (AWS SQS) for asynchronous tasks (like sending emails or updating the search index) to avoid blocking the main API threads.
- Monitoring and Logging:
- Monitoring: Use AWS CloudWatch to monitor the performance of the application and infrastructure (CPU utilization, memory usage, request latency, error rates). Set up alarms to be notified of any issues.
- Logging: Centralized logging using a service like AWS CloudWatch Logs or a third-party logging service (e.g., ELK stack, Datadog). All services will log relevant events, errors, and debugging information.
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Code Structure:
- Follow consistent coding style and conventions (e.g., using a linter like ESLint).
- Use a modular design within each service to promote code reusability and maintainability.
- Write clear and concise code with comments where necessary.
- Use a well-defined project structure (e.g., separating concerns into different directories).
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Testing:
- Unit Tests: Test individual components (functions, classes) in isolation.
- Integration Tests: Test the interaction between different components (e.g., service-to-service communication, service-to-database communication).
- End-to-End Tests: Test the entire application flow from the user interface to the database.
- Automated Tests: All tests should be automated and integrated into the CI/CD pipeline.
- Third-Party Services:
- Algolia: For search.
- AWS Services: (API Gateway, ECS/EKS, RDS, SQS, CloudFront, CloudWatch).
- Future: Speech-to-Text API (Google Cloud Speech-to-Text or AWS Transcribe). Third-party authentication providers (Google, Facebook, Apple).
Recipe Remix - UX Design Document
1. Overall Design Concept
- Design Philosophy: Resourceful Minimalism. The design will focus on being clean, uncluttered, and highly functional, emphasizing the core value proposition: turning leftover ingredients into delicious meals. The interface should feel empowering and efficient, not overwhelming. The "resourceful" aspect highlights the waste-reduction theme.
- Key Design Principles:
- Efficiency: Minimize the steps required to find relevant recipes.
- Clarity: Present information in a clear, concise, and easily understandable way.
- Feedback: Provide immediate feedback to user actions (e.g., auto-suggestions, confirmation messages).
- Error Prevention: Design the interface to minimize the chance of user errors (e.g., clear input fields, helpful prompts).
- Accessibility: Ensure the app is usable by people with disabilities (see the "Accessibility Considerations" section).
2. Information Architecture
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Navigation Structure: A simple, tab-based navigation will be used for the primary sections of the web app. This is familiar to most users and works well for a limited number of top-level sections. The tabs will be:
- Home (Ingredients): This is the primary landing page and features the ingredient input interface.
- Recipes: Displays the recipe results based on the entered ingredients.
- Saved: Shows the user's saved recipes (limited to 5 for free users).
- Account: Allows users to manage their account (login/signup, profile – very basic for MVP).
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Content Organization:
- Home (Ingredients):
- Ingredient input field (prominent).
- List of currently added ingredients (with edit/delete options).
- "Find Recipes" button (call to action).
- Recipes:
- List of recipe cards, sorted by relevance.
- Filtering options (prep time, cook time).
- Saved:
- List of saved recipe cards (similar to the "Recipes" view, but without filtering).
- Account:
- Login/Signup forms.
- Basic profile information (username, email – limited in MVP).
- Home (Ingredients):
3. Key User Flows (Detailed)
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Flow 1: Finding Recipes (Primary Flow)
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Screen Title: Home (Ingredients)
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User Actions:
- User opens the web app.
- User taps/clicks into the ingredient input field.
- User begins typing the name of an ingredient (e.g., "chick").
- User selects "Chicken Breast" from the auto-suggestion dropdown.
- User enters a quantity (e.g., "2") and selects a unit ("whole").
- User taps/clicks the "+" button (or presses Enter).
- User repeats steps 3-6 for other ingredients (e.g., "onion," "garlic").
- User taps/clicks the "Find Recipes" button.
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System Response:
- The app displays the Home (Ingredients) screen.
- The cursor focuses on the ingredient input field.
- Auto-suggestions appear below the input field as the user types.
- The selected ingredient is added to the list below the input field.
- The quantity and unit fields appear after an ingredient is selected.
- The ingredient is visually added to the list with quantity and unit displayed.
- The app transitions to the Recipe Results screen and displays a list of recipes, sorted by the matching algorithm.
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UI Elements:
- Text input field (with placeholder text "Add an ingredient").
- Auto-suggestion dropdown (dynamically populated).
- Quantity input field (numeric).
- Unit selection dropdown (pre-populated with options: "whole," "cups," "tablespoons," etc.).
- "+" button (to add the ingredient to the list).
- List items (displaying added ingredients with quantity, unit, and an "x" button to remove).
- "Find Recipes" button (prominent, visually distinct).
- "Clear All" button (to clear the entire ingredient list).
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Visual Description Hints: A clean, white background with a large, centrally placed search bar. Below, a list of added ingredients, each with an "x" to remove. A prominent green "Find Recipes" button at the bottom.
- Rationale: Uses a familiar search bar pattern to perform a task.
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Screen Title: Recipe Results
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User Actions:
- User browses the list of recipes.
- User taps/clicks on a recipe card to view details.
- User taps/clicks on the cook time filter.
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System Response:
- The app displays recipe cards, with the best-matching recipes at the top. Each card shows recipe title, image, short description, % match, and estimated cooking time.
- The app transitions to the Recipe Details screen for the selected recipe.
- The filter options appear, and the User selects.
- The recipes reorder based on filter selection.
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UI Elements:
- Recipe cards (containing title, image, description, % match, cooking time).
- "Load More" button (if there are more recipes than initially displayed).
- Filtering dropdowns/buttons (for prep time and cook time).
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Visual Description Hints: A grid of recipe cards, each with a large image, concise text, and a clear percentage match indicator (e.g., a circular badge).
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Rationale: Recipe cards follow the commonly understood pattern.
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Screen Title: Recipe Details
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User Actions:
- User scrolls through the recipe details (ingredients, instructions).
- User taps/clicks the "Save Recipe" button.
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System Response:
- The app displays the full recipe content. Ingredients the user has are visually highlighted (e.g., with a green checkmark).
- The app adds the recipe to the user's "Saved" list. A confirmation message/toast appears ("Recipe Saved!"). If the user has already saved 5 recipes (and is a free user), a message is displayed: "You have reached the limit of saved recipes for free accounts. Upgrade to Premium to save more!"
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UI Elements:
- Recipe title (large and prominent).
- Recipe image/video.
- Ingredient list (with visual indicators for matched/unmatched ingredients).
- Step-by-step instructions (numbered).
- "Save Recipe" button (heart icon or similar).
- User ratings/reviews section (with a "Coming Soon" placeholder).
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Visual Description Hints: A clean layout with the recipe image at the top, followed by clearly separated sections for ingredients and instructions. Good use of whitespace. A prominent "Save Recipe" button.
- Rationale: Layout is easy to read.
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Flow 2: Saving a Recipe
- (See steps within Flow 1 - viewing Recipe Details and tapping "Save Recipe").
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Flow 3: Accessing Saved Recipes
- Screen Title: Recipe Details or Recipe Results
- User Actions:
- User taps/clicks the "Saved" tab in the navigation bar.
- System Response:
- The app transitions to the Saved Recipes screen.
- UI Elements:
- Navigation bar (with "Saved" tab highlighted).
- List of saved recipe cards (identical in format to the Recipe Results screen).
- Visual Description Hints: Similar to the Recipe Results screen, but displaying only the user's saved recipes.
- Rationale: Keeps the display of recipes similar for consistency.
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Flow 4: User Signup/Login
- Screen Title: Account
- User Action: User taps/clicks the "Account" tab in the navigation bar.
- If not logged in, user sees options for "Log In" or "Sign Up".
- User enters their email and password and taps 'Log in'
- System Response:
- The account screen with log-in options is displayed.
- The user is logged in.
- UI Elements: Standard input fields for email and password. "Log In" Button. "Sign Up" button. "Forgot Password" link.
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Negative Use Cases and Edge Cases
- No Ingredients Entered: If the user taps "Find Recipes" without entering any ingredients, display a friendly message: "Please add some ingredients to find recipes."
- No Matching Recipes: If no recipes match the entered ingredients, display a message: "No recipes found that match your ingredients. Try adding more ingredients, or try different combinations." Include a suggestion to browse a list of all of the recipes, or suggest some to add.
- Invalid Ingredient: If the user enters an ingredient that is not recognized (even after auto-suggestion), the ingredient can still be added. This allows for less-common ingredient names, and the database can be expanded later to support more.
- Network Error: If there is a network error, display a message: "Unable to connect. Please check your internet connection and try again." Provide a "Retry" button.
- Exceeding Saved Recipe Limit (Free User): As described in Flow 1, display a message indicating the limit and prompting the user to upgrade.
- "Forgot Password" flow: A simple and secure password reset flow, initiated by a "Forgot Password" link on the login screen. An email verification code is sent to the user.
4. UI Style Guide (Summary)
- Color Palette:
- Primary: Light green (#E8F5E9 - background), Darker green (#4CAF50 - buttons, calls to action).
- Secondary: Light beige (#F5F5DC - for card backgrounds), Brown (#795548 - for text).
- Accent: Orange (#FF5722 - for highlighting important elements, like the % match).
- Rationale: The color palette is a natural, earthy color pallette, appropriate for the subject.
- Typography:
- Headings: Open Sans (Bold) - Clean, modern, and readable.
- Body Text: Lato (Regular) - Excellent for readability, especially on screens.
- Font Sizes: Use a clear hierarchy (e.g., H1 for page titles, H2 for section headings, H3 for recipe titles, etc.). Ensure sufficient font size for readability on various screen sizes.
- Rationale: Uses easy-to-read font.
- Imagery/Iconography:
- Use high-quality, well-lit photos of food and ingredients. Images should be appetizing and visually appealing.
- Icons should be simple, clear, and consistent (e.g., a heart icon for "Save Recipe," an "x" icon for "Remove").
- Use a consistent icon set (e.g., Material Icons, Font Awesome).
5. Accessibility Considerations
- Sufficient Color Contrast: Ensure all text has sufficient contrast against its background, meeting WCAG guidelines (at least 4.5:1 for normal text, 3:1 for large text). Use a color contrast checker during development.
- Keyboard Navigation: All interactive elements (buttons, links, form fields) must be navigable using the keyboard alone (Tab key, arrow keys, Enter key). Ensure a logical tab order.
- Screen Reader Compatibility:
- Use semantic HTML (e.g.,
<nav>,<main>,<aside>,<h1>-<h6>). - Provide descriptive
alttext for all images. - Use ARIA attributes where necessary to enhance screen reader understanding (e.g.,
aria-label,aria-describedby,role). - Ensure dynamic content changes (e.g., auto-suggestions, search results) are announced by screen readers.
- Use semantic HTML (e.g.,
- Form Labels: All form fields must have clearly associated labels (using the
<label>element or ARIA attributes). - Error Handling: Provide clear and descriptive error messages that explain how to correct the error.
- Font Size and Spacing: Use relative units (e.g.,
em,rem) for font sizes to allow users to adjust text size in their browser settings. Ensure sufficient line height and letter spacing for readability. - Voice Input: The app will allow for Voice Input.