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VTUStudyMarkAnalysis

Python Jupyter Notebook Matplotlib Random

VTUStudyMarkAnalysis Project

This project is a Python-based analysis tool for VTU (Visvesvaraya Technological University) study marks. It calculates total marks, percentage, SGPA, CGPA, and analyzes weak and strong scores per subject. The project also includes visualization using Matplotlib and provides random motivational quotes.

Features

  • Input details such as name, USN, semester, branch, and marks for each subject.
  • Calculate total marks, percentage, SGPA, CGPA, grade points, and more.
  • Analyze weak and strong scores per subject.
  • Visualize weak and strong scores with Matplotlib.
  • Display random motivational quotes.

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/VTUStudyMarkAnalysis.git
cd VTUStudyMarkAnalysis

  2. Install the required dependencies:

    pip install -r requirements.txt

  3. Run the Jupyter Notebook:

    jupyter notebook VTUStudyMarkAnalysis.ipynb

Usage

  1. Follow the prompts to input your details and marks.
  2. Execute the cells in the Jupyter Notebook to perform the analysis.

Connect with Us

Join our WhatsApp channel for updates: WhatsApp Channel

License

This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to contribute and share your insights!