# How to Use This Implementation Plan with AI Coding Assistants

1. **Save this plan** as a markdown (.md) file in your project directory
2. **Open the file** in your preferred code editor with Cursor or Windsurf AI assistant
3. **Copy and paste** the following prompt to your AI assistant:

   "I want to implement this project following the implementation plan in this file. Let's start with the first unchecked item. For each step: 1) Ask me any clarifying questions if something is unclear before proceeding, 2) Explain what needs to be done, 3) Write the necessary code, 4) Check the box when complete (change `- [ ]` to `- [x]`), then 5) Move to the next unchecked item. After completing logical groups of steps, commit the changes with a descriptive message. Let's begin with step #1."

4. **Track your progress** by checking off completed items as you go
5. **Commit regularly** after logical groups of steps are completed

Implementation Plan for Scouta: AI-Driven Personalized Shopping Assistant

Project Overview

Scouta aims to provide a personalized shopping experience leveraging AI to analyze user behaviors, social media trends, and preferences. The core technology stack will include a React-based front end, Node.js and PostgreSQL backend, with integrations for social media and payment processing.

Phase 1: Project Setup

• [ ] 1. Create a new Git repository for Scouta project
• [ ] 2. Initialize the project with npm init and create a package.json with basic metadata
• [ ] 3. Create and configure a .gitignore file with appropriate entries for Node.js, React, and environment files
• [ ] 4. Create README.md with purpose, installation instructions, and usage guidelines
• [ ] 5. Create a src/ directory for source code
• [ ] 6. Create a tests/ directory for unit and integration test files
• [ ] 7. Install required dependencies for React: npm install react react-dom
• [ ] 8. Install development dependencies: npm install --save-dev webpack webpack-cli babel-loader @babel/core @babel/preset-react
• [ ] 9. Create a webpack.config.js with basic configuration for entry, output, and module rules
• [ ] 10. Create a .babelrc for Babel configuration with React preset configured
• [ ] 11. Create src/index.js as the main application entry point
• [ ] 12. Create a basic src/index.html template file
• [ ] 13. Create a base CI workflow in .github/workflows/ci.yml
• [ ] 14. Write a unit test to verify the project setup (check for a successful initial render in any component)

Phase 2: User Authentication

• [ ] 15. Create src/components/auth/ directory for authentication components
• [ ] 16. Create src/components/auth/LoginForm.js component structure with functional component skeleton
• [ ] 17. Add an email input field to LoginForm in src/components/auth/LoginForm.js
• [ ] 18. Add a password input field to LoginForm in src/components/auth/LoginForm.js
• [ ] 19. Add a submit button to LoginForm in src/components/auth/LoginForm.js
• [ ] 20. Implement form validation for the email field in state (create a validateEmail function)
• [ ] 21. Implement form validation for the password field in state (ensure it’s at least 6 characters)
• [ ] 22. Write unit tests for email validation in tests/auth/LoginForm.test.js
• [ ] 23. Write unit tests for password validation in tests/auth/LoginForm.test.js
• [ ] 24. Create src/services/auth.js for handling authentication API calls and structure the file with placeholder functions
• [ ] 25. Implement the login API call function in auth.js to send requests to a mock authentication endpoint
• [ ] 26. Write unit tests for the login API call function in tests/services/auth.test.js
• [ ] 27. Connect the LoginForm submit handler to call the login function from auth.js
• [ ] 28. Implement loading state in LoginForm during submission to provide user feedback
• [ ] 29. Add error handling logic for failed login attempts within LoginForm
• [ ] 30. Write integration tests for the complete login flow in tests/auth/integration.test.js

Phase 3: Budget Tracking Feature

• [ ] 31. Create src/components/budget/ directory for budget tracking components
• [ ] 32. Create a src/components/budget/BudgetForm.js component structure
• [ ] 33. Add an input for the budget amount in BudgetForm
• [ ] 34. Add a submit button for setting the budget in BudgetForm
• [ ] 35. Implement state management for budget amount within BudgetForm
• [ ] 36. Write unit tests for budget submission handling in tests/budget/BudgetForm.test.js
• [ ] 37. Create src/services/budget.js for handling budget tracking operations and structure it
• [ ] 38. Connect BudgetForm submit handling to budget.js to save the budget to local storage
• [ ] 39. Update the budget tracking display within the main dashboard component
• [ ] 40. Write integration tests for budget setting in tests/budget/integration.test.js

Phase 4: Social Media Integration

• [ ] 41. Create src/services/socialMedia.js for handling social media API interactions
• [ ] 42. Implement OAuth 2.0 authentication for social media accounts support
• [ ] 43. Create a src/components/social/ directory for social media related components
• [ ] 44. Create src/components/social/SocialConnect.js component to manage social account connections
• [ ] 45. Add buttons for Instagram and TikTok connections in SocialConnect.js
• [ ] 46. Implement API calls in socialMedia.js to request and receive user interactions from social platforms
• [ ] 47. Write unit tests for social media API interactions in tests/services/socialMedia.test.js
• [ ] 48. Integrate SocialConnect component into user profile flow to prompt users to connect their accounts
• [ ] 49. Write integration tests for the social connection flow in tests/social/integration.test.js

Phase 5: Recommendation Engine

• [ ] 50. Create the basic structure for the recommendation algorithm in src/services/recommendations.js
• [ ] 51. Pull user preference data from local storage and social media data for recommendations
• [ ] 52. Implement basic rule-based recommendations based on user budget and preferences
• [ ] 53. Write unit tests for the recommendation engine functions in tests/services/recommendations.test.js
• [ ] 54. Create UI components to display recommendations in src/components/recommendations/
• [ ] 55. Create src/components/recommendations/RecommendationList.js component to show curated lists
• [ ] 56. Connect the recommendations data flow from recommendations.js to RecommendationList
• [ ] 57. Write integration tests for the recommendation display in tests/recommendations/integration.test.js

Phase 6: Search Functionality

• [ ] 58. Create src/components/search/ directory for search-related components
• [ ] 59. Create src/components/search/SearchBar.js with input field and submit button
• [ ] 60. Implement a state for handling search queries in SearchBar
• [ ] 61. Add the ability to filter recommendations based on user input
• [ ] 62. Write unit tests for SearchBar component functionality in tests/search/SearchBar.test.js
• [ ] 63. Create a search results display component within src/components/search/SearchResults.js
• [ ] 64. Integrate SearchResults to dynamically reflect search queries from SearchBar
• [ ] 65. Write integration tests for the complete search functionality in tests/search/integration.test.js

Phase 7: Deployment Preparation

• [ ] 66. Set up AWS services for hosting, including API Gateway, S3 for image storage
• [ ] 67. Create a deployment script for CI/CD pipeline using GitHub Actions
• [ ] 68. Prepare production-ready build with webpack
• [ ] 69. Write deployment documentation for the setup process in README.md
• [ ] 70. Conduct final QA testing across all features and correct identified bugs
• [ ] 71. Launch the application in a closed beta to a select group of users for feedback and adjustments

Phase 8: User Feedback Collection

• [ ] 72. Implement in-app user feedback mechanisms through forms
• [ ] 73. Set up Google Analytics for tracking user behavior
• [ ] 74. Prepare regular feedback collection schedule using pop-ups or scheduled prompts
• [ ] 75. Review feedback and make iterative improvements based on user input

  This implementation plan outlines the steps required to build the Scouta application while ensuring code organization, testing practices, and deployment readiness. Each phase is carefully structured to allow for parallel development and testing, leading to an effective and efficient MVP launch.