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Student Performance Analyzer

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Project Domain / Category
Data Mining
Data mining is a process of analyzing data from different perspectives and summarizes the results as useful information. In the field of education the concepts of data mining are known as Educational Data Mining. Through this process we transform the raw data coming from different educational system and can predict on the basis of this data about the performance of students in future. The main objective of this project is to detect the failure rate of students as early as possible and to prevent them from dropping out and to enhance their academic performance. In this project on the basis of midterm results of students it could be predicted that what will be their possible performance/result in final term exams. This prediction can help educational systems to take preventive measures for students either to make changes in learning environment and to raise their educational standards.
Functional Requirements: 1. Dataset of students at least of 50 students. 2. Predict the student performance in final term exams on basis of their midterm results
Using Artificial Neural Network (ANN) techniques. 3. Error rate must be as low as possible. 4. This simulation base final results must be shown diagrammatically in final docs (diagrams
must be related to simulator result, not drawn by hand).

Tools: MATLAB or Weka


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