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Student retention is a widely recognized challenge in the educational community to assist the institutes in the formation of appropriate and effective pedagogical interventions. This study intends to predict the students at-risk of low performances during an on-going course, those at-risk of graduating late than the tentative timeline and predicting the capacity of students in a campus. The data constitutes of demographics, learning, academic and educational related attributes which are suitable to deploy various machine learning algorithms for the prediction of at-risk students. For class balancing, Synthetic Minority Over Sampling Technique, is also applied to eliminate the imbalance in the academic award-gap performances and late/timely graduates. Results reveal the effectiveness of the deployed techniques with Long short-term Memory (LSTM) outperforming other models for early prediction of at-risk students. The main contribution of this work is a machine learning approach capable of enhancing the academic decision making related to student performance.

University students around the world find geographical and organizational difficulties in verifying their records and academic documents in various traditional ways; namely by mail, e-mail or in person. Such a procedure is hectic and time-consuming. Also, an important step in job recruiting is to go through résumes and applicants' certificates and check if they contain incorrect or fraudulent information. Hence, the need to standardize these services in a unified portal was made by designing and developing an electronic system to verify documents for students and student graduates. The proposed e-verification portal of this study enhances the smart university with saving time and effort as it receives all verification transactions from external parties inside and outside a country. It also helps keep track of the achievement in an accurate manner and prevents the falsification of documents. This research article demonstrates the stages of the system design, development, the accomplished outcomes and the final form of implementation strategy.