Harsha9353-34/Student-Performance-Prediction

Overview

This is an open-source machine learning project hosted on GitHub that allows users to predict student academic performance. The tool uses a trained model to analyze input features such as study hours, previous grades, and other relevant factors, providing an estimated performance outcome. It is deployed as an interactive web application using Streamlit, making it accessible without requiring coding knowledge. Ideal for educational analysis and self-assessment.

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Key Features

• Input features like study hours and grades
• Machine learning prediction model
• Interactive Streamlit web interface
• Open-source code available on GitHub
• Visualization of input data

Pros

• Free to use
• Open-source and customizable
• Easy-to-use web interface
• Lightweight and fast

Cons

• Limited documentation
• May require data preprocessing
• Prediction accuracy depends on training data

Who Is This Tool Best For?

Educators and students seeking performance insights.