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The Student Performance Prediction System uses machine learning to predict whether students will pass or fail based on data such as CGPA, attendance, and internships. It employs various AWS services, including SageMaker for model training and Lambda for serverless computing, to process user input and generate predictions, which are then sent via email and displayed on a dashboard. The project aims to identify weak students early, improve academic performance, and support teachers in making informed decision

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ranjitganesh417

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EN