BillSmart: An Automated Grocery Billing System Using YOLO

BillSmart: An Automated Grocery Billing System Using YOLO

M A Anusuya1, R Guru2, Vinodraj V K3, K Sudarshan4, Amogh B S5, N Sri Saketh Reddy6

1M A Anusuya, Dept. of Computer Science and Engineering, JSS Science and Technology University

2R Guru, Dept. of Computer Science and Engineering, JSS Science and Technology University

3Vinodraj V K, Dept. of Computer Science and Engineering, JSS Science and Technology University

4K Sudarshan, Dept. of Computer Science and Engineering, JSS Science and Technology University

5Amogh B S, Dept. of Computer Science and Engineering, JSS Science and Technology University

6N Sri Saketh Reddy, Dept. of Computer Science and Engineering, JSS Science and Technology University

Abstract - This paper introduces BillSmart, an automated grocery bill generation system that utilizes the YOLOv11 object detection model and a FastAPI backend to produce bills from grocery item images. The system will automate the checkout process in a grocery store by minimizing human effort and maximizing accuracy. Leveraging advanced computer vision techniques, our system accurately identifies and classifies grocery items from images. We describe the preparation of the dataset, training of the model, and integration of the trained model into a friendly React application.

Key Words : YOLOv11, Object Detection, Grocery Billing, Data Augmentation