AI Dog Prediction System

Welcome to the AI Dog Prediction System! This project is designed to predict dog breeds using machine learning models. It is built using Python, Django, SQLite, HTML, CSS, JavaScript, and Bootstrap, along with powerful libraries such as TensorFlow, NumPy, and Pandas.

Features

• Machine Learning: Utilizes TensorFlow for dog breed prediction.
• Web Framework: Built with Django for robust backend support.
• Database: Uses SQLite for data storage.
• Frontend: HTML, CSS, JavaScript, and Bootstrap for a responsive and user-friendly interface.

Getting Started

To get started with the project, follow these steps:

Prerequisites

• Python 3.7 or higher
• pip
• pipenv (optional)

Installation

1. Clone the repository:

   git clone https://github.com/Alex1-ai/AI-Dog-Prediction-System.git
   cd AI-Dog-Prediction-System

2. Install the required libraries:

   Using pipenv (recommended):

   pipenv shell
   pip install -r requirements.txt

   Or using pip:

   pip install -r requirements.txt

3. Apply migrations:

   python manage.py migrate

4. Start the development server:

   python manage.py runserver

5. Open your web browser and go to http://127.0.0.1:8000 to view the application.

Libraries and Frameworks

• Backend:

  • Django
  • SQLite

• Frontend:

  • HTML
  • CSS
  • JavaScript
  • Bootstrap

• Machine Learning:

  • TensorFlow
  • NumPy
  • Pandas

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Contact

For any questions or inquiries, please contact me at [[email protected]].