Smart Campus Information System

Python mini-project for Q9 of the lab manual. It integrates the Lab 1 to Lab 8 style modules into one menu-driven application.

Features

• Student registration and grade evaluation
• Course enrollment management
• Student record storage in CSV
• Search and sort student data
• Fee calculation using functions
• File-based academic record management
• Directory scanning with exception handling
• Performance analytics using NumPy, Pandas, and Matplotlib

Run

python main.py

For analytics support, install the required packages:

pip install -r requirements.txt

Use menu option 10 to create sample data quickly, then option 9 to generate analytics.

Files Created While Running

• data/students.csv
• data/enrollments.json
• data/academic_records.csv
• reports/student_performance.png