🎓 Student Performance Prediction System

An AI powered student analytics dashboard that predicts academic performance using machine learning and provides personalized recommendations, visual analytics, and downloadable PDF reports.

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🚀 Features

✅ Student Performance Prediction using Machine Learning ✅ Prediction Confidence Percentage ✅ Personalized Academic Recommendations ✅ Light / Dark Theme Toggle ✅ Student Profile Card ✅ Performance Trend Visualization ✅ PDF Report Generation ✅ Interactive Dashboard using Streamlit

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🛠️ Technologies Used

• Python
• Streamlit
• Scikit-learn
• Pandas
• NumPy
• Matplotlib
• ReportLab

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📂 Project Structure

student-performance-project/
│── app.py
│── train_model.py
│── recommendation.py
│── model.pkl
│── student_data.csv
│── requirements.txt
│── README.md
│── .gitignore

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⚙️ Installation

pip install -r requirements.txt

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▶️ Run the Project

streamlit run app.py

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📊 Machine Learning Workflow

1. Dataset preprocessing
2. Model training using classification algorithm
3. Performance prediction
4. Confidence calculation
5. Recommendation generation

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📸 Screenshots

Dashboard Home

Prediction Output

PDF Report

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📈 Future Scope

• Multi-student record management using database
• Faculty login dashboard
• Admin analytics panel
• Cloud deployment
• Mobile responsive version
• Advanced ML models for higher accuracy
• Attendance integration from ERP systems

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🎯 Use Cases

• Colleges for academic monitoring
• Teachers for early intervention
• Students for self-improvement
• Academic performance analytics

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👩‍💻 Author

Namrata Singh

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⭐ If you like this project

Star this repository and connect it with future ML projects.