Automation of College Work using Artificial Intelligence

Abstract

College has many exams every month and the staff has to make multiple data points of the same. They also have to calculate the total, average and CGP/Percent of each and every student writing that exam. Exam Seat allotment is one task that every student has to make sure they are updated over the same for each exam or sometime for each subject too in the same exam. The problem here is students typically have to spend some amount of time to go to the notice area and find out where his seat is allotted. Automation of college work project is implemented in MATLAB image processing toolbox. The project is implemented for both Real time and Non-Real time. The proposed method has four stages. First is Pre-Processing and second is Feature Extraction and third is Segmentation and fourth Recognition. In case of Non-Real time, the first stage is used to browse the image, second stage is extraction of the features from images using OpenCV as they contain Pre-trained Models that are directly used to provide results accurately compared to other methods over such task.