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AI-powered Student Performance Prediction System using Machine Learning and Streamlit

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🎓 EduInsight AI

Student Performance Prediction System using Machine Learning and Streamlit.

🚀 Features

  • Predicts student final grades
  • Interactive Streamlit dashboard
  • Machine Learning model using Linear Regression
  • Data visualization and analysis
  • User-friendly interface

🛠 Technologies Used

  • Python
  • Pandas
  • Scikit-learn
  • Streamlit
  • Matplotlib
  • Seaborn

📊 Machine Learning

The model predicts student final grades based on:

  • Study time
  • Absences
  • Past failures
  • Previous grades (G1 & G2)

Model Accuracy:

  • R² Score: 0.78

▶️ Run Project

streamlit run app.py

📚 What I Learned

  • Data preprocessing
  • Exploratory Data Analysis
  • Linear Regression
  • Model evaluation
  • Streamlit app development
  • Feature engineering

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AI-powered Student Performance Prediction System using Machine Learning and Streamlit

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