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Accordingly, alerts are sent to the mentor at different critical points of the system. The mentor is
responsible for sending relevant responses back to the MIS database. Those responses are also

recorded in the MIS database. Accordingly, the student is continuously being monitored.

Conclusions

The proposed system would provide explicit pre-awareness regarding dropout-prone candidates and

help the faculty to take necessary actions to reduce the dropout rate after determining the best ways to
minimise the number of dropouts. The possible causes for student dropouts would be identified by the

relevant mentors by discussing with the identified students with the help of this proposed system. This

system would identify possible dropouts while monitoring the undergraduates of the faculty
continuously during their student career.

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