GUI Grade assist Python

GradeAssist to analyze student data and identify key patterns and trends. Here's how I built it:

1. Data Collection: Used Kaggle to source the CSV data file.

2. Data Import: Imported the CSV into an SQL server.

3. Data Understanding: Analyzed the information to uncover insights.

4. SQL to Python Integration: Connected the database to Python for further analysis.

5. Data Visualization: Leveraged Tkinter to visualize the data effectively.

Technologies powering GradeAssist:

- Python: Core language for data manipulation

- Tkinter: Created an intuitive graphical user interface

- Matplotlib: Advanced mathematical calculations and visualizations

- Pandas: Saved data into an Excel file

- Pypyodbc: Connected the database to Python

- NumPy: Converted lists into arrays for operations

- fpdf: Generated PDF reports