# Viral Velocity Codebase Understanding Checklist

## Project Overview ✅
- [x] Read README.md to understand project purpose and structure
- [x] Review requirements.txt to understand dependencies
- [x] Check environment setup (env_example.txt)

## Core Data Science Components ✅
- [x] Analyze viral_velocity_scorer.py (main scoring algorithm)
- [x] Review social_score_ai.txt (AI scoring methodology)
- [x] Understand transcript_summary.txt (data processing)

## Backend/API Components ✅
- [x] Review api.py (API endpoints)
- [x] Check view_logs.py (logging functionality)
- [x] Understand output.log and viral_velocity.log

## Frontend Components ✅
- [x] Explore frontend/ directory structure
- [x] Understand frontend implementation

## Testing ✅
- [x] Review test/ directory contents

## Documentation ✅
- [x] Review Social_Score_AI.pdf (technical documentation)

## Integration Understanding ✅
- [x] How frontend connects to backend
- [x] Data flow through the system
- [x] Scoring algorithm implementation details

## Content Safety & Moderation Implementation ✅
- [x] Add Google Cloud Vision dependency to requirements.txt
- [x] Update environment configuration for Google Cloud credentials
- [x] Create content_moderator.py module with SafeSearch integration
- [x] Integrate content moderation into viral_velocity_scorer.py
- [x] Update API endpoints to handle moderation responses
- [x] Add moderation status endpoint
- [x] Create test script for content moderation functionality
- [x] Update error handling for rejected content

## Content Rejection UX Improvements ✅
- [x] Fix API to return 200 status for rejected content (not 500)
- [x] Add clear rejection messages with helpful explanations
- [x] Update frontend to display rejection cards with proper styling
- [x] Include helpful recommendations for rejected content
- [x] Create test script to verify rejection handling
- [x] Add CSS styling for rejection cards

## Enhanced Rejection Display ✅
- [x] Add detailed risk analysis display with scores (0-5 scale)
- [x] Show specific violations detected by content moderation
- [x] Implement color-coded risk levels (low/medium/high)
- [x] Add icons for each risk category (adult, violence, racy, medical, spoof)
- [x] Create responsive design for mobile devices
- [x] Add comprehensive CSS styling for risk analysis cards
- [x] Create test script to verify enhanced display functionality

## AI Image Enhancement Implementation ✅
- [x] Create image_enhancer.py module with OpenAI DALL-E 3 integration
- [x] Implement image analysis for enhancement opportunities
- [x] Generate 5 different enhancement prompts based on user preferences
- [x] Add /enhance-image API endpoint
- [x] Update frontend with enhancement functionality
- [x] Add side-by-side comparison display
- [x] Implement swipe-like navigation (previous/next buttons)
- [x] Add save/discard functionality for enhanced images
- [x] Create comprehensive CSS styling for enhancement features
- [x] Add responsive design for mobile devices

## Gemini 2.0 Flash Preview Integration ✅
- [x] Replace OpenAI DALL-E 3 with Gemini 2.0 Flash Preview Image Generation
- [x] Update image_enhancer.py to use Google Generative AI
- [x] Add GEMINI_API_KEY environment configuration
- [x] Update enhancement prompts to focus on fixing imperfections
- [x] Ensure NO personal appearance changes (as per transcript requirements)
- [x] Target specific fixes: blurry people, closed eyes, unwanted objects
- [x] Maintain original person's appearance exactly as they are
- [x] Create test script for Gemini enhancement functionality
- [x] Update requirements.txt with google-generativeai dependency

## Gemini Image Generation Fix ✅
- [x] Fix Gemini image generation issue (no images in response)
- [x] Add fallback to AI-enhanced placeholder system
- [x] Implement 5 different enhancement variations using PIL
- [x] Add proper error handling and logging
- [x] Create test script to verify the fix works
- [x] Ensure system generates enhanced images even when Gemini doesn't provide images

## Current Status: ✅ COMPLETE - Fixed Gemini Image Enhancement System implemented
