Retouched AI

I implemented a robust async processing system with real-time status updates. I created a polling mechanism that checks processing status every few seconds, displaying progress indicators to users. For longer processing times, I implemented a notification system that alerts users when processing is complete. I also added queue management to handle multiple simultaneous requests and implemented proper error handling for failed processing attempts with retry logic.

I researched and implemented appropriate image processing libraries for each format. For JPG and PNG, I used standard image conversion libraries. For PSD format, I implemented a specialized library that could create proper PSD files with layer support. I optimized the conversion process to handle large files efficiently and implemented caching to avoid re-processing the same images. I also added format-specific optimization options (quality settings for JPG, compression for PNG).

I implemented a cloud storage solution (AWS S3 or similar) for storing uploaded and processed images. I created a file organization system with unique identifiers and proper folder structure. I integrated CDN for fast image delivery and implemented image optimization and compression before storage. I also added automatic cleanup of temporary files and old processing results to manage storage costs.

I implemented comprehensive error handling with retry logic for transient failures. I created a centralized error handling system that categorizes errors and provides appropriate user feedback. I implemented exponential backoff for retry attempts and added proper logging for debugging. I also created fallback mechanisms for critical operations and implemented proper timeout handling to prevent hanging requests.

I implemented a combination of polling and WebSocket connections for real-time updates. For frequently changing data like processing statistics, I used WebSockets for instant updates. For less critical data, I used optimized polling with appropriate intervals. I also implemented data caching and incremental updates to reduce server load. I added debouncing for rapid updates and created efficient data structures for quick lookups.

I implemented JWT-based authentication with secure token storage and refresh mechanisms. I created role-based access control middleware that checks user permissions before allowing access to protected routes and API endpoints. I implemented proper password hashing, CSRF protection, and rate limiting to prevent abuse. I also added comprehensive logging for security events and implemented proper error messages that don't leak sensitive information.

I designed a state machine for request statuses (Pending, In Progress, Review, Completed) with clear transitions. I created a notification system that alerts relevant parties when status changes occur. I implemented a communication system within the platform for users and editors to exchange messages. I also built a file delivery system for completed work and created a review/approval workflow for quality control.