Automation and Optimization of Manual Marks Entry with Smart Scanning App

The application with a title “Smart Marks Mania” is an innovative solution to automate the student's marks entry in an academic institution. Traditionally, manual entry and handling of marks have been time-consuming, error-prone and inefficient. This application addresses these challenges by adding advanced technologies that include Optical Character Recognition and Convolutional Neural Network to automatically extract handwritten marks and student identification numbers(USNs) from scanned answer scripts. It offers an user-friendly interface designed to cater to the requirements of faculty and students. It offers a flexible and scalable structure for system development. Rigorous testing has been conducted to ensure the system's performance, accuracy, and reliability. Overall, this application reduces the traditional manual marks entry process by automating marks extraction, data entry and providing a centralized platform for administrator, faculties and students, thus enhancing efficiency, accuracy, and accessibility in academic assessments. This application showcase how advanced technologies can transform educational processes and enhance the efficiency of assessment methods.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/comp-sif65618.2025.10969936
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation and Optimization of Manual Marks Entry with Smart Scanning App

J. Deepika, C. Bhanuprakash
Vehicle License Plate Recognition
article

Automation and Optimization of Manual Marks Entry with Smart Scanning App

J. Deepika, C. Bhanuprakash
article en

Abstract

The application with a title “Smart Marks Mania” is an innovative solution to automate the student's marks entry in an academic institution. Traditionally, manual entry and handling of marks have been time-consuming, error-prone and inefficient. This application addresses these challenges by adding advanced technologies that include Optical Character Recognition and Convolutional Neural Network to automatically extract handwritten marks and student identification numbers(USNs) from scanned answer scripts. It offers an user-friendly interface designed to cater to the requirements of faculty and students. It offers a flexible and scalable structure for system development. Rigorous testing has been conducted to ensure the system's performance, accuracy, and reliability. Overall, this application reduces the traditional manual marks entry process by automating marks extraction, data entry and providing a centralized platform for administrator, faculties and students, thus enhancing efficiency, accuracy, and accessibility in academic assessments. This application showcase how advanced technologies can transform educational processes and enhance the efficiency of assessment methods.

Siddaganga Institute of Technology (IN), Sri Siddhartha Medical College (IN)
Openalex Percentile: Top 88%
Vehicle License Plate Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automation and Optimization of Manual Marks Entry with Smart Scanning App — J. Deepika, C. Bhanuprakash · (2025) | TGRS Research Map | TGRS