Time Table using Machine Learning |
Author(s): |
| Huzefa Asif Baig , Theem college of engineering; Mubashir Qazi, Theem college of engineering; Furqan Shaikh, Theem college of engineering; Azhar Nabi, Theem college of engineering |
Keywords: |
| Machine Learning, Web Scraping, Data Computation |
Abstract |
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Universities and school colleges waste their huge amount of money and man power in scheduling classes for their teachers and students hence ending up wasting such important resources also, student point of view regarding lectures and their interest regarding subject is ignored in this traditional way of formulating timetables. In this algorithm subject hardness as well as skill will be considered will subject slots on working day. This will be calculated using relative summation of those 2 parameters. For avoiding time slots collision based on calculated marks time slots gradient descent and other error minimizing machine learning tools will be used. Then the allocated time slots with their subject teachers will be fetched by website and then displayed to the authenticated users. |
Other Details |
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Paper ID: IJSRDV7I80454 Published in: Volume : 7, Issue : 8 Publication Date: 01/11/2019 Page(s): 584-586 |
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