I’m working on a web application that performs AI-based image colorization, where the input is a batch of high-resolution black & white images and the output is a batch of high-resolution colorized images. The frontend is already built using React (JavaScript). The backend is implemented in Python using Flask, but it currently needs fixes and improvements to function correctly. The main goal is to debug and fix the backend so it can properly receive image batches from the frontend, process them using the existing AI/image-processing logic, and return the colorized results reliably. This includes fixing API endpoints, request/response handling, file uploads, batch processing, and ensuring stable communication between frontend and backend. The AI model itself already exists; the task is focused on backend integration and functionality, not training a new model. Required Skills: Python & Flask (API development and debugging) Experience handling image uploads and batch processing Familiarity with AI/ML image pipelines (colorization, OpenCV, PIL, etc.) REST API integration with React frontends JavaScript / React (basic integration understanding) Budget: $125 (fixed price)