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VTUStudyMarkAnalysis wiki!
Welcome to the VTUStudyMarkAnalysis project! This project is designed to help students analyze their VTU study marks, calculate important metrics, and gain insights into their academic performance. It encourages self-motivation and emphasizes the importance of smart and hard work in your studies.
Input your details, including name, USN, semester, branch, and marks for each subject. Calculate total marks, percentage, SGPA, CGPA, grade points, and more.
Utilizes the Matplotlib library to provide visualizations of weak and strong scores per subject. Adds a motivational touch with random quotes to keep you inspired.
Displays random motivational quotes to encourage you in your academic journey.
This project is designed to focus on your individual progress without comparisons with others. Emphasizes the importance of self-motivation and personal improvement. Technologies Used
Utilizes Python for coding, incorporating object-oriented programming (OOP) concepts and functions. Demonstrates the use of classes and functions for a structured and modular approach. Matplotlib:
Implements the Matplotlib library for visualizations, creating pie charts to analyze weak and strong scores. Random Module:
Utilizes the random module to provide a variety of motivational quotes for a positive experience. How to Use
bash
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git clone https://github.com/yourusername/VTUStudyMarkAnalysis.git
cd VTUStudyMarkAnalysis
bash
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pip install -r requirements.txt
Run the Jupyter Notebook:
bash
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jupyter notebook VTUStudyMarkAnalysis.ipynb
Follow the Prompts:
Input your details and marks as prompted. Execute the cells in the Jupyter Notebook to perform the analysis.
This project serves as a reminder to focus on your own journey, avoid unnecessary comparisons, and stay motivated through the ups and downs of your academic life. Remember, your progress is unique, and the key is continuous improvement.
Join me on WhatsApp channel for updates. You can also connect with me on my Bio.link for additional information.