🚀 Animal Classification Web App

Transform your animal image classification experience with our powerful Flask web application! Upload and instantly classify animals using state-of-the-art machine learning.

Live Demo

The application is deployed and can be accessed at: https://animal-classification-flask-app-yay48qunbup3unge4g6fkx.streamlit.app

✨ Key Features

🤖 Advanced Classification

• 15 Animal Categories - Accurately identifies Bears, Birds, Cats, Cows, Deer, Dogs, Dolphins, Elephants, Giraffes, Horses, Kangaroos, Lions, Pandas, Tigers, and Zebras
• High Accuracy - 99.47% test accuracy and 97.43% train accuracy
• ResNet50 CNN - Powered by state-of-the-art deep learning architecture

💻 User-Friendly Interface

• Simple Upload - Easy-to-use image upload functionality
• Instant Results - Real-time classification processing
• Clean Design - Intuitive web interface

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🚀 Quick Start

Installation

1. 🧑‍💻 Clone the Repository

git clone https://github.com/ShauryaDusht/animal-classification-flask-app
cd animal-classification-flask-app

2. 🔧 Install Dependencies

pip install -r requirements.txt

3. 📁 Project Structure

AnimalClassification/
│
├── static/
│   └── styles.css
├── templates/
│   └── index.html
│ 
├── animal_classifier.pkl
├── app.py
├── streamlit_app.py
└── requirements.txt

🚀 Start the Server

1. Start flask server(for windows)

python app.py

2. Open a web browser and go to http://127.0.0.1:5000/

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🛠️ Technologies Used

⚡ Backend:

• Flask for robust server-side operations
• PyTorch for machine learning model deployment

🎯 Frontend:

• Clean, responsive web interface
• Simple upload and classification workflow

🖥️ Model:

• ResNet50 CNN architecture
• Trained on Animal Data dataset from Kaggle
• High accuracy classification

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📧 Contact

Feel free to reach out to me via email for any queries or collaboration opportunities:

📧 [email protected]