AI-Powered Image Editing Automation
💡 Overview
This project demonstrates how I built a fully automated workflow for a client who was manually editing thousands of images every day. The automation replaced a labor-intensive process, resulting in over ₹2,00,000/month in cost savings.
🛠️ Tech Stack • Puppeteer – Automated browser control for uploading, navigating, and interacting with web tools • Segment Anything Model (SAM) – AI-based image segmentation and masking (e.g., hair, shoes) • UploadThing – Seamless file handling between local and web environments
🧩 Problem
The client was manually performing the following tasks on a daily basis: • Uploading thousands of images • Manually masking features like hair and shoes • Prompting AI models for editing • Downloading the processed results
This consumed significant time and operational cost.
⚙️ Solution
I developed a bot that automates the entire workflow from start to finish: • Automatically uploads images • Applies AI-based masking using SAM • Downloads the final processed images
The full solution was built in 5 days and is now running end-to-end without manual intervention.
📈 Impact • Eliminated hours of daily manual work • Saved over ₹2,00,000/month in manual labor • Scalable and adaptable to similar repetitive workflows in other domains
🚀 Vision
This project reflects my strong interest in turning repetitive tasks into efficient, scalable AI-driven workflows. I aim to continue building systems that save time, reduce costs, and improve productivity through automation.