🎓 Student Performance Prediction using Machine Learning

A Flask-based web application that predicts a student's Performance Index using a Linear Regression Machine Learning model.

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📖 Project Overview

This project predicts a student's academic performance based on the following inputs:

• 📚 Hours Studied
• 📝 Previous Scores
• 🌙 Sleep Hours
• 📄 Sample Question Papers Practiced
• 🏆 Extracurricular Activities

The model is trained using the Linear Regression algorithm from Scikit-learn and deployed with Flask. The application features a modern and responsive user interface built using HTML, CSS, Bootstrap, and Bootstrap Icons.

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✨ Features

• 🤖 AI-powered performance prediction
• ⚡ Fast prediction using a trained ML model
• 🎨 Responsive and attractive UI
• 📊 Displays predicted Performance Index
• 📱 Works on desktop and mobile devices

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🛠️ Technologies Used

• Python
• Flask
• Pandas
• NumPy
• Scikit-learn
• Joblib
• HTML5
• CSS3
• Bootstrap 5
• Bootstrap Icons

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📂 Project Structure

Student_Performance_Prediction/
│
├── app.py
├── model.py
├── model.pkl
├── Student_Performance.csv
├── requirements.txt
├── README.md
│
├── templates/
│   ├── index.html
│   └── result.html
│
└── static/
    └── css/
        └── style.css

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🚀 Installation

1. Clone the repository

git clone https://github.com/Riya-Rani655/Student_Performance_Prediction.git

2. Open the project folder

cd Student_Performance_Prediction

3. Install dependencies

pip install -r requirements.txt

4. Run the application

python app.py

5. Open your browser

http://127.0.0.1:5000

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📊 Machine Learning Model

Algorithm Used

• Linear Regression

Input Features

• Hours Studied
• Previous Scores
• Sleep Hours
• Sample Question Papers Practiced
• Extracurricular Activities

Output

• Predicted Performance Index

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📸 Screenshots

Home Page

Prediction Result

*

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🔮 Future Improvements

• User Authentication
• Multiple Machine Learning Models
• Performance Graphs
• Model Comparison
• Student Report Download (PDF)
• Cloud Deployment

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👩‍💻 Developer

Riya Rani

B.Tech in Computer Science & Engineering (AI & ML)

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⭐ Support

If you found this project useful, please consider giving it a ⭐ Star on GitHub.

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📄 License

This project is licensed under the MIT License.