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Image Description AI - Implementation Tasks

Task 1: Create Basic HTML Structure and Styling Foundation

Objective: Establish the foundational HTML structure with semantic markup and responsive CSS framework Deliverables:

  • Complete HTML skeleton with proper DOCTYPE and meta tags
  • Responsive CSS Grid layout system for the main application container
  • Modern color scheme implementation (blues/grays as specified)
  • Typography system with readable fonts and proper spacing
  • Mobile-first responsive breakpoints

Acceptance Criteria:

  • HTML validates as HTML5 standard
  • Layout is responsive across mobile (320px+), tablet (768px+), and desktop (1024px+)
  • Color scheme uses professional blue/gray palette with proper contrast ratios
  • Typography is legible across all device sizes
  • Basic layout structure includes: header, main upload area, preview section, results section
  • CSS is modular with clear section organization (layout, components, utilities)

Task 2: Implement File Upload Interface with Drag & Drop

Objective: Create an intuitive file upload interface supporting both drag-and-drop and click-to-browse functionality Deliverables:

  • Drag-and-drop zone with visual feedback states (drag over, drop, default)
  • Hidden file input element for click-to-browse functionality
  • Visual upload area with icon, instructional text, and file format specifications
  • File type icon display for different image formats
  • Hover and focus states for accessibility

Acceptance Criteria:

  • Drag-and-drop zone visually responds to drag events with proper styling
  • Click-to-browse opens file dialog and triggers file selection
  • Upload area shows clear instructions: "Drag an image here or click to browse"
  • Supported formats are displayed: JPG, PNG, WebP
  • Accessibility: Keyboard navigation and screen reader support
  • Visual feedback on hover/focus with smooth transitions

Task 3: Add File Validation and Error Handling System

Objective: Implement comprehensive file validation to ensure only valid images are processed Deliverables:

  • File type validation (accept only jpg, jpeg, png, webp)
  • File size validation (maximum 5MB with user-friendly error messages)
  • Validation feedback system with clear error messages
  • File metadata extraction (name, size, type)
  • Reset functionality to clear errors and start over

Acceptance Criteria:

  • Invalid file types show error: "Please select a valid image file (JPG, PNG, WebP)"
  • Files over 5MB show error: "File size must be less than 5MB"
  • Error messages display in red text below upload area
  • Successful validation clears previous errors
  • Validation occurs immediately upon file selection
  • Files with valid extensions but invalid content are caught
  • Reset button clears all errors and upload area state

Task 4: Implement Image Preview Functionality

Objective: Display uploaded image with proper sizing and formatting for user confirmation Deliverables:

  • Image preview container with proper aspect ratio handling
  • Image resizing and optimization for preview (max 400px width/height)
  • Base64 encoding of the selected image for API submission
  • Metadata display (filename, file size, dimensions)
  • Replace/change image functionality

Acceptance Criteria:

  • Image preview displays within 2 seconds of file selection
  • Preview maintains aspect ratio without distortion
  • Large images are scaled appropriately for preview
  • Base64 encoding completes successfully and is stored in memory
  • Image metadata is extracted and displayed (filename, size in MB, dimensions)
  • "Change Image" button allows uploading a different file
  • Preview clears when starting over

Task 5: Integrate Minimax API for Image Description Generation

Objective: Connect to Minimax API and implement the core AI description generation functionality Deliverables:

  • API request construction with proper payload format
  • Base64 image embedding in the request body
  • Proper error handling for network issues and API responses
  • Response parsing and extraction of the AI-generated description
  • API key management (client-side with security notes)

Acceptance Criteria:

  • API request uses correct endpoint: https://api.minimax.io/v1/text/chatcompletion_v2
  • Request payload includes model: "MiniMax-M2"
  • Base64 image is properly formatted in the messages array
  • Prompt "Please provide a detailed description of this image in English" is included
  • Successful API response extracts the description text
  • API errors are handled gracefully with user-friendly messages
  • Network timeouts are handled with appropriate error messaging
  • Loading state is shown during API calls

Task 6: Create Loading States and User Feedback System

Objective: Implement comprehensive loading and feedback mechanisms to enhance user experience Deliverables:

  • Loading spinner and progress indicator during API calls
  • Status messages for different processing stages
  • Button state management (disabled during processing)
  • Timeout handling with user notification
  • Success and error state animations

Acceptance Criteria:

  • Loading spinner appears immediately when "Generate Description" is clicked
  • "Generate Description" button is disabled during processing to prevent duplicate requests
  • Status message shows: "Analyzing image with AI..."
  • Processing timeout (30 seconds) shows: "Processing is taking longer than expected"
  • Success animation plays when description is generated
  • Error state shows appropriate error message with red styling
  • Loading states have smooth transitions and professional appearance

Task 7: Display AI Description Results with Formatting

Objective: Present the AI-generated description in a clean, readable format with additional functionality Deliverables:

  • Results display area with proper typography and spacing
  • Text formatting and paragraph handling for long descriptions
  • Option to copy description to clipboard
  • "Generate New Description" functionality for the same image
  • "Upload New Image" reset functionality
  • Responsive results layout

Acceptance Criteria:

  • Description displays in a readable format with proper line breaks
  • Long descriptions are scrollable if they exceed viewport
  • "Copy to Clipboard" button works and shows confirmation
  • "Generate New Description" button triggers new API call
  • "Upload New Image" button clears all data and returns to upload state
  • Results area is visually distinct from upload area
  • Typography is large enough to read comfortably on mobile devices

Task 8: Final Polish, Testing, and Production Readiness

Objective: Complete final testing, optimizations, and prepare for immediate browser deployment Deliverables:

  • Comprehensive error handling for all edge cases
  • Performance optimization for large images and slow networks
  • Cross-browser compatibility testing
  • Accessibility improvements (ARIA labels, keyboard navigation)
  • Final code organization and documentation
  • Single HTML file consolidation with inline CSS and JavaScript

Acceptance Criteria:

  • Application works in Chrome, Firefox, Safari, and Edge
  • All functionality works on mobile devices (iOS and Android)
  • Images up to 5MB process within 30 seconds on average connections
  • Clear error messages for all failure scenarios (network, API, validation)
  • Complete keyboard navigation support
  • ARIA labels and semantic HTML for screen readers
  • No console errors or warnings
  • Single HTML file contains all code and loads immediately in any modern browser
  • Professional appearance with smooth animations and transitions
  • File size under 50KB for fast loading

Implementation Notes

Task Dependencies

  • Tasks 1-2 can be implemented in parallel
  • Task 3 depends on Task 2 (validation needs upload interface)
  • Task 4 depends on Task 3 (preview needs validation)
  • Task 5 depends on Task 4 (API needs base64 image)
  • Task 6 depends on Task 5 (loading states during API calls)
  • Task 7 depends on Task 6 (results display after processing)
  • Task 8 depends on all previous tasks (final testing and polish)

Technical Considerations

  • Use vanilla JavaScript ES6+ features for modern browser support
  • Implement CSS custom properties for maintainable theming
  • Follow progressive enhancement principles
  • Maintain separation of concerns within the single file
  • Include comprehensive error boundaries

Testing Approach

  • Test with various image sizes and formats
  • Test error scenarios (large files, invalid types, network issues)
  • Verify responsive behavior across devices
  • Validate accessibility with screen readers
  • Performance test with slow network connections