🖼️ ImageClassifierGUI

A simple desktop application that classifies images using a pre-trained neural network. Built with Python, TensorFlow, and a Tkinter GUI. Just upload an image of an object (like a dog, cat, boat, car, etc.) and the app will guess what it is — with a confidence score.

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✨ Features

• Upload any image from your device
• Predicts object category using a trained neural network
• Displays confidence level for each prediction
• Easy-to-use graphical interface (Tkinter)

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📂 Project Structure

ImageClassifierGUI/

├── classifier.py # Main application file (GUI + logic)
├── model.keras # Pre-trained model file
├── logo.png # App logo
├── assets/
│ └── demo.gif # Screenshot or demo gif for README
├── requirements.txt # Dependencies
└── README.md # Project overview (this file)

🚀 Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ImageClassifierGUI.git
   cd ImageClassifierGUI

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   # On macOS/Linux:
   source venv/bin/activate
   # On Windows:
   venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

🧪 Usage

Run the app:

python classifier.py

Upload an image and see what it predicts!

🧠 Model Info

This project uses a pre-trained Keras image classification model trained on a simplified dataset of common object categories.

📸 Demo

📚 Credits

• Based on a project from Python Simplified
• Interface designed using Tkinter
• Model trained using TensorFlow/Keras