Time-Table to Mobile Reminders
Rishabh Surti1, Divyesh Chavan2, Jitendra Saturwar3

1Rishabh Surti , Department of Computer Science & Engineering, Universal college of Engineering, Vasai, India.
2Divyesh Chavan, Department of Computer Science & Engineering, Universal college of Engineering, Vasai, India.
3Dr. Jitendra Saturwar, Head Of Department of Computer Science & Engineering Universal college of Engineering, Vasai, India.

Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 960-962 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1535059120/2020©BEIESP | DOI: 10.35940/ijrte.A1535.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: ‘Time–table to Mobile Reminders’ is an Android software aimed towards faculty and student use in schools, colleges and other institutions. The idea to built this app arose because in an education institution keeping track of timetable becomes an tedious job for the teachers and students as well. In order to tackle this problem we decided to built an app that would automate the reminders without any hassle, the only input has to be an image of the time-table. This project is divided into four modules. This includes capturing the image of the time-table, scanning and extracting text from the image using OCR with the help of OpenCV and Tesseract, Identifying the text stored in excel file and classifying it into date, time and lecture, and then Setting reminder accordingly in the app itself. In this way, the faculty or the student will receive a notification on their device a few minutes before the lecture is about to commence without having to look for physical timetable or even digital for that matter every time.
Keywords:  Time-table, calendar, image-processing, OCR, mobile app.
Scope of the Article: Image Processing and Pattern Recognition