Project
Our student mark prediction model employs sophisticated analytics to forecast academic performance accurately. By analyzing past grades, study habits, and other relevant factors, it provides valuable insights into future achievements. Teachers and students can benefit from personalized strategies to enhance learning outcomes. With its data-driven approach, our model helps identify areas for improvement and optimize study plans, ultimately contributing to academic success and growth.
Technologies
Python
Keras
Tensorflow
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