Analyzing VTU Study Marks with Python: A Self-Motivation Tool
Introduction
Welcome to the world of self-motivated study analysis! In this blog post, we'll explore a Python-based tool designed to help students analyze their VTU study marks, calculate essential metrics, and gain insights into their academic performance. This tool, named VTUStudyMarkAnalysis, is not just about grades; it's about motivating yourself and focusing on your unique journey.
Key Features
1. Self-Analysis:
- Input your details, including name, USN, semester, branch, and marks for each subject.
- Calculate total marks, percentage, SGPA, CGPA, grade points, and more.
2. Visualizations:
- Utilizes the power of Matplotlib for visualizations, creating pie charts to analyze weak and strong scores per subject.
- Adds a motivational touch with random quotes to keep you inspired.
3. Motivation:
- Displays random motivational quotes to encourage you in your academic journey.
4. Privacy and Focus:
- Designed to focus on your individual progress without comparisons with others.
- Emphasizes the importance of self-motivation and personal improvement.
Technologies Used
-
Python:
- Incorporates 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
- Clone the Repository:
bash
git clone https://github.com/FarhaKousar1601/VTUStudyMarkAnalysis.git
cd VTUStudyMarkAnalysis
Top comments (5)
VTU WhatsApp channel [whatsapp.com/channel/0029Va4n5jDIn...]
Thanks, great ππ
Nice
lovely project
Very interesting project