I need an end-to-end AI workflow that lets me drop hundreds of clothing-and-accessory photos into a folder and receive, in minutes, a ready-to-upload Amazon, Flipkart , Myntra bulk-listing file (ideally the Category Listing Report or an inventory flat file) plus publicly accessible image links. Here’s what the system must do: • Ingest images in bulk (ZIP, S3 bucket, or drag-and-drop web interface). • Detect the garment type, generate an SEO-friendly title, craft an Amazon, Myntra -compliant description, and pull out size and colour variants automatically. • Suggest or calculate price and set the initial quantity/availability fields. • Host each image (or place it in S3/CloudFront) and write the link into the correct column. • Export a CSV/XLSX that matches Amazon’s Clothing & Accessories template so I can upload it to Seller Central without further edits. I’m comfortable running Python and have AWS credits available, so leveraging PyTorch/TensorFlow, Amazon Rekognition, Bedrock, SageMaker, or similar tools is fine as long as the final code is clean, documented, and runnable on my account. If you prefer another stack, just outline the deployment steps. Deliverables 1. Source code and model weights (or API calls) that perform the image-to-listing conversion. 2. A one-click or minimal-step deployment script (Docker, CloudFormation, or notebook). 3. Sample output file generated from a small image set I’ll provide for testing. 4. Short read-me covering setup, retraining on new product lines, and troubleshooting. Once I can upload images, run your script, and see a valid Amazon flat file with correct titles, bullet-points, sizes, colours, prices, quantities, and hosted image URLs, the project is complete.