🎓 Student Performance Predictor (ML Project)

📌 Description

This project predicts whether a student will pass or fail based on:

• Study hours
• Attendance

🧠 Technologies Used

• Python
• Pandas
• Scikit-learn
• Matplotlib

🚀 Features

• Train ML model
• Save model using joblib
• Predict using user input
• Data visualization

📊 Model

• Logistic Regression

📷 Example

Input: Hours: 5 Attendance: 75

Output: PASS

💡 Future Improvements

• Add web interface (Flask/FastAPI)
• Use real dataset