Student Feedback System Project In Python With Source Code

Student Feedback System Project In Python With Source Code

The Student Feedback System Project In Python was developed using Python Programming, This Student Feedback System In Python is a simple GUI based application which is very easy to understand and use. It uses Tkinter module for the GUI.

Talking about the application, the user just has to enter his/her name, email id and leave comments regarding their services.

This is a simple GUI application, that does not create an external file or uses external files as a database to store the data permanently.

A Student Feedback System In Python Using Tkinter design is so simple that the user won’t find any difficulties while working on it.

In order to run the project, you must have installed Python and on your PC. This is a simple application system application for beginners.

This Feedback System also includes a downloadable Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.

To start executing Student Feedback System Project In Python, make sure that you have installed Python 3.9 and PyCharm in your computer.

Student Feedback System Project In Python With Source Code : Steps on how to run the project

Time needed: 5 minutes

These are the steps on how to run Student Feedback System Project In Python With Source Code

  • Step 1: Download the given source code below.

    First, download the given source code below and unzip the source code.
    student feedback system download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    student feedback system open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    student feedback system run project

Installed Libraries

from tkinter import *
from tkinter import ttk
from tkinter import messagebox

Complete Source Code

from tkinter import *
from tkinter import ttk
from tkinter import messagebox

root = Tk()
frame_header = ttk.Frame(root)
frame_header.pack()
headerlabel = ttk.Label(frame_header, text='STUDENT FEEDBACK SYSTEM', foreground='blue',
                        font=('Arial', 24))
headerlabel.grid(row=0, column=1)
messagelabel = ttk.Label(frame_header,
                         text='PLEASE TELL US WHAT YOU THINK',
                         foreground='green', font=('Arial', 10))
messagelabel.grid(row=1, column=1)

frame_content = ttk.Frame(root)
frame_content.pack()
# def submit():
#     username = entry_name.get()
#     print(username)
myvar = StringVar()
var = StringVar()
# cmnt= StringVar()
namelabel = ttk.Label(frame_content, text='Name')
namelabel.grid(row=0, column=0, padx=5, sticky='sw')
entry_name = ttk.Entry(frame_content, width=18, font=('Arial', 14), textvariable=myvar)
entry_name.grid(row=1, column=0)

emaillabel = ttk.Label(frame_content, text='Email')
emaillabel.grid(row=0, column=1, sticky='sw')
entry_email = ttk.Entry(frame_content, width=18, font=('Arial', 14), textvariable=var)
entry_email.grid(row=1, column=1)

commentlabel = ttk.Label(frame_content, text='Comment', font=('Arial', 10))
commentlabel.grid(row=2, column=0, sticky='sw')
textcomment = Text(frame_content, width=55, height=10)
textcomment.grid(row=3, column=0, columnspan=2)


textcomment.config(wrap ='word')
# def clear():
#     textcomment.delete(1.0,'end')
def clear():
    global entry_name
    global entry_email
    global textcomment
    messagebox.showinfo(title='clear', message='Do you want to clear?')
    entry_name.delete(0, END)
    entry_email.delete(0, END)
    textcomment.delete(1.0, END)


def submit():
    global entry_name
    global entry_email
    global textcomment
    print('Name:{}'.format(myvar.get()))
    print('Email:{}'.format(var.get()))
    print('Comment:{}'.format(textcomment.get(1.0, END)))
    messagebox.showinfo(title='Submit', message='Thank you for your Feedback, Your Comments Submited')
    entry_name.delete(0, END)
    entry_email.delete(0, END)
    textcomment.delete(1.0, END)


submitbutton = ttk.Button(frame_content, text='Submit', command=submit).grid(row=4, column=0, sticky='e')
clearbutton = ttk.Button(frame_content, text='Clear', command=clear).grid(row=4, column=1, sticky='w')

mainloop()

Output

Download Source Code below

Summary

This simple feedback system project is written in Python. The project file contains a python script (main.py). This is a simple GUI based application which is very easy to understand and use. It uses Tkinter module for the GUI.

Talking about the application, the user just has to enter his/her name, email id and leave comments regarding their services. This is a simple GUI application, that does not create an external file or uses external files as a database to store the data permanently.

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Inquiries

If you have any questions or suggestions about Student Feedback System Project In Python With Source Code, please feel free to leave a comment below.

Technology stack and requirements

To run this Python project on your development machine, you need:

  • Python 3.10 or higher. Download from python.org or install via Anaconda if you prefer bundled packages.
  • pip package manager. Comes with Python. Used to install project dependencies from requirements.txt.
  • Virtual environment. Use venv or conda to isolate project dependencies from your global Python install.
  • VS Code or PyCharm. Free code editors with Python syntax highlighting, IntelliSense, and debugging.
  • Git. For version control and cloning source code repositories.

Installing the source code

  1. Download or clone the repository. Get the ZIP archive from the download link on this page and extract it.
  2. Create a virtual environment. Open a terminal in the project folder and run: python -m venv venv, then activate it (venv\Scripts\activate on Windows or source venv/bin/activate on Mac/Linux).
  3. Install dependencies. Run pip install -r requirements.txt to install all libraries the project needs.
  4. Configure environment variables. If the project uses API keys (OpenAI, Anthropic, database), create a .env file and set the required keys.
  5. Run the project. Follow the run command in the README (usually python main.py or streamlit run app.py).

Using this project for your BSIT capstone

  • Chapter 1 (Introduction). Discuss the real-world problem this system solves. Cite Philippine or international use cases where the manual process could be automated.
  • Chapter 2 (RRL). Compare your project against 5-10 similar published works. Cite ACM, IEEE, or arXiv papers for academic-standard sources.
  • Chapter 3 (Methodology). Document the model architecture, training data, hyperparameters, and evaluation metrics used.
  • Chapter 4 (Results). Report accuracy, precision, recall, F1-score, and confusion matrix. Screenshot the running app on real inputs.
  • Chapter 5 (Conclusion). Identify features for Version 2: better model, larger dataset, mobile deployment, or REST API.

Modules typical of Student Feedback System Project

  • Core Python logic. Main functions implementing the business logic of the system.
  • Data storage. SQLite for simple projects, PostgreSQL or MongoDB for larger data.
  • User interface. Tkinter for desktop, Streamlit for data dashboards, or Flask/FastAPI for web.
  • Input validation. Type checking and range validation before processing user data.
  • Reports. CSV or PDF export using pandas.to_csv() or ReportLab.
  • Testing. pytest unit tests covering core functions.

Common enhancements for capstone review

  • Add REST API. Convert desktop app to FastAPI service for mobile or web front-ends.
  • Multi-user support. Add login, roles, and per-user data isolation.
  • Cloud deployment. Deploy to Render, Railway, or Fly.io for public access.
  • Docker containerization. Package the app in Docker for portable deployment.

Frequently Asked Questions

How does this Python student management system work?

Records demographics, enrollment, class assignments, grades, attendance, fees. Tkinter + SQLite.

What Python version and libraries does this project require?

Most projects in this batch use Python 3.10, 3.11, or 3.12 (avoid 3.13 until library wheels catch up). Standard libs: tkinter (built-in), sqlite3 (built-in). External: pip install pillow opencv-python pygame mysql-connector-python reportlab requests beautifulsoup4. Check the requirements.txt file (if included) for exact versions.

How do I set up the database for this Python project?

For SQLite (most common, no setup needed): the .db file auto-creates on first run. For MySQL: install MySQL Server + MySQL Workbench, create an empty database, import the included .sql file, edit the connection string in db.py (or db_connect.py) with your host, user, password, database name.

Can I use this Python project for a BSIT capstone or thesis?

Yes. Python is rising fast in Philippine BSIT panels. Extend it: add user roles via auth module, dashboards (matplotlib charts), PDF reports (reportlab), email notifications (smtplib), real domain extension (analytics, audit log, multi-branch support). Pair with Chapter 1-5 documentation matching your panel’s rubric.

Why am I getting ‘ModuleNotFoundError’ or ‘No module named X’?

Three common Python issues: (1) Module not installed: pip install (use pip3 on macOS/Linux). (2) Wrong virtualenv: activate the project’s venv before running (python -m venv venv then venv\Scripts\activate on Windows or source venv/bin/activate on Linux/macOS). (3) Python 2 vs Python 3 mismatch: ensure you run python3 main.py not python main.py if both are installed.

Where can I find more Python projects with source code?

Browse the Python Projects hub for the full library. For computer vision specifically see OpenCV Projects (46 vision systems). For ML / AI capstones see Machine Learning Projects. For BSIT capstone idea lists see 150 Best Capstone Project Ideas.

Angel Jude Suarez


Full-Stack Developer at PIES IT Solution

Focuses on Python development, machine learning, and AI integration. Has built production AI systems including OpenAI Whisper integration for medical transcription and GPT-4o-powered diagnosis assistance. Strong background in pandas, scikit-learn, and TensorFlow.

Expertise: Python · PHP · Java · VB.NET · ASP.NET · Machine Learning · AI Integration · OpenCV · Django · CodeIgniter
 · View all posts by Angel Jude Suarez →

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