Automated Attendance Management System Using OCR and Django Framework DARABATTULA JOSHNA SRI

Abstract

Attendance management is a critical task in educational institutions and organizations,
traditionally carried out manually using paper registers or spreadsheets. These methods
are time-consuming, error-prone, and inefficient, especially when dealing with large
volumes of data. This project presents an Automated Attendance Management System
that leverages Optical Character Recognition (OCR) and the Django web framework to
digitize and streamline the attendance recording process.The proposed system allows
users to upload images containing attendance data, such as scanned sheets or photographs
of handwritten or printed records. The system processes these images using OCR
techniques to extract relevant information, including student ID, student name, and
attendance status. The extracted data is then stored in a structured database, enabling
efficient retrieval and management.
The backend of the system is developed using Django, which handles user authentication,
data processing, and database interactions. The system provides secure login and
registration functionalities, ensuring that only authorized users can access and manage
attendance records. Once an image is uploaded, the OCR engine processes it and
generates structured data, which is displayed to the user for verification.Additionally, the
system offers an export feature that allows users to download the extracted attendance
data in Excel format. This feature enhances usability by enabling easy sharing, reporting,
and further analysis of attendance records. The use of the Pandas library ensures efficient
data handling and conversion into spreadsheet format