Student Performance Prediction - ML Project with Django UI

Description

A machine learning project that predicts student performance and provides a user-friendly interface built with Django.

Features

• Predict student performance score based on input features.
• Web-based UI using Django.
• Interactive and user-friendly input forms.
• Displays predictions along with model accuracy.

Installation

1. Clone the repository:

git clone https://github.com/Faisal-Zamir/Student_Performance_ML_Project_DjangoUI.git

2. Navigate to the project directory:

cd Student_Performance_ML_Project_DjangoUI

3. Install required packages:

pip install -r requirements.txt

4. Run the Django server:

python manage.py runserver

5. Open your browser at:

http://127.0.0.1:8000

Usage

To use the Student Performance Prediction application:

• Step 1: Fill in student details in the input form.
• Step 2: Click the "Calculate Performence" button.
• Step 3: View the predicted performance along with related metrics such as the performance index.

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Dataset

The model is trained on a publicly available dataset from Kaggle: Link:

https://www.kaggle.com/datasets/nikhil7280/student-performance-multiple-linear-regression  

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Model

• Algorithm: Linear Regression
• R2: 99%

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Screenshots

For example:

• Home Page: Screenshot of the form where users input student data.

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• Metrics (bottom area): Screenshot showing the predicted results and metrics.

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Contributing

Feel free to open an issue or submit a pull request for improvements.

Contact

Faisal Zamir - pyFaisalZamir@gmail.com | JafriCode@gmail.com GitHub: https://github.com/Faisal-Zamir