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🧠 Quizzler - Python-Based Quiz Application

📌 Overview

Quizzler is a Python-based GUI quiz application that fetches trivia questions from an online API and challenges the user with a series of True/False questions. Built using Tkinter, the app demonstrates effective use of object-oriented programming, API integration, and interactive UI design in Python.

🎯 Objective

The primary goal of Quizzler is to:

  • Provide a user-friendly quiz experience.
  • Integrate with the Open Trivia DB API for dynamic question fetching.
  • Showcase modular and scalable code architecture using Python.

Screenshots

Initial Screen and result

Login Page Register Page

Response to wrong or correct answer

Profile Page Home Page

🛠️ Tech Stack

Component Technology
Language Python
GUI Framework Tkinter
Data Source Open Trivia DB API
Architecture Object-Oriented

🧩 Project Structure

quizzler/
│
├── main.py # Main file to run the application
├── ui.py # Handles the GUI logic with Tkinter
├── quiz_brain.py # Core logic for question handling
├── data.py # Module for API integration
└── README.md # Documentation
  • main.py: Initializes the quiz and GUI components.
  • ui.py: Manages GUI rendering and button interactions.
  • quiz_brain.py: Controls quiz logic, answer checking, and scorekeeping.
  • data.py: Fetches quiz questions from the Open Trivia DB API.

🔌 API Integration

Questions are fetched using a GET request from the Open Trivia Database API. The app dynamically parses the JSON response and formats it for display.

Example API endpoint:

https://opentdb.com/api.php?amount=10&type=boolean

  • You can adjust amount if you want more or less questions. And type also.

💻 How to Run

✅ Prerequisites

  • Python 3.x installed on your machine
  • requests library (install via pip)

🧪 Installation Steps

git clone https://github.com/prashantgohel321/Quizzler-Python.git
cd quizzler
pip install requests

Execution

python main.py

Features

  • Clean and responsive UI with score tracking
  • Instant feedback with visual cues (color-based)
  • Real-time data fetching using API
  • Modular code architecture for scalability