Abstract

The Smart Marks Manager presents an innovative solution for automating and streamlining the management of student marks in academic institutions. The traditional process of manual mark entry and management has been time-consuming, error-prone, and inefficient. This project aims to address these challenges by leveraging advanced technologies such as Optical Character Recognition (OCR) and Convolutional Neural Networks (CNN) to automate the extraction of handwritten marks and unique student identification numbers (USN) from uploaded marksheet images.