Student Grade Analysis System

Developed with:

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Project Overview

A C-based grade analysis system that processes student data from CSV files to calculate grades, compute CGPA, identify toppers, and detect failed subjects. This project emphasizes core logic-building skills by avoiding built-in string functions like strtok, instead using custom parsing methods for enhanced modularity and learning.

This program simulates a student grade analysis system that:

• Reads data from three CSV files:

  • subjects.csv — Subject details
  • grades.csv — Grade mappings
  • marks.csv — Students' marks

• Processes the data to:

  • Calculate individual grades and overall CGPA.
  • Identify subject toppers and semester toppers.
  • Detect subjects where students have failed.

It’s designed for Students and Programmers looking to strengthen their C programming skills through file handling, data processing, and modular design.

Features

• Grade Calculation: Computes grades and CGPA for every student.
• Topper Identification: Detects both subject-wise and semester-wise toppers.
• Failure Detection: Lists failed subjects for each student.
• Modular Structure: Built with custom functions for clean, maintainable code.
• Pure C Logic: No use of functions like strtok—all string parsing is done manually for deep learning.

File Structure

.
├── tables.c              # Main C source file with all logic
├── subjects.csv          # CSV containing subject codes and names
├── grades.csv            # CSV mapping marks to grades and grade points
├── marks.csv             # CSV with students' marks
└── README.md             # Project documentation

CSV File Descriptions

subjects.csv

Subject Name	Credits	Semester
PSPP	3	1
CL	1	1

grades.csv

Min Marks	Max Marks	Grade	Grade Point
77	88	AA	10
60	77	AB	9

marks.csv

MIS NO.	PSPP	CL	PPL	DSA	OS	CN	TOC
612303001	82	85	90	67	68	85	90

How to Run

1. Clone the Repository

git clone https://github.com/SumitDesai-21/grade_analysis_system.git
cd grade_analysis_system

2. Compile the Program

Use gcc to compile the project:

gcc tables.c -o t

3. Run the Program

./t

Prerequisites:

• GCC compiler installed (sudo apt install gcc on Linux Terminal).
• All CSV files (subjects.csv, grades.csv, marks.csv) must be in the same directory as tables.c.

Key Concepts Used

• File I/O in C (fopen, fgets, etc.)
• Manual string parsing
• Data structures (arrays - 1D and 2D, structs)
• Custom functions for modularity and reusability
• Error handling for file operations

Learning Objectives

• Master file operations and data parsing in C.
• Enhance problem-solving by writing manual string parsers.
• Understand how to design modular, scalable C projects.

Contributions

Contributions, suggestions, and improvements are welcome! Feel free to fork this repository, raise an issue, or submit a pull request.

About the Author

• LinkedIn: Sumit Desai
• GitHub: Sumit Desai

Happy Coding! ❤️