Thumbs-Up: A Sanction Probe Software using Machine Learning

Abstract

A Sanction Probe program proposed in this paper is primarily concerned with the uncertainty that arises while checking the hosteller's authorization to depart. A program that uses image processing has been developed to automatically check a student's permission as they walk through the college's entrance. In a hostel that has many students, it is difficult to maintain a manual outing record. Students intend to go on an outing or to their native during festivals/ government holidays. The developed Sanction Probe software is a gadget that checks a student's authorization before they leave the dormitory. Hostel guests are required to submit their authorization in an online form through the Thumbs-up website to the hostel's website under their username. When a hosteller walks through the entry, their accounts will be verified to determine whether they have an authorization, and a sound will alert if not. Machine learning is used to create the software by training sample inputs and training the model for image recognition.