🧠 Image Classifier using CNN

Developed a Convolutional Neural Network (CNN) to classify animal images (dog vs cat vs deer).

📁 Dataset

Used 10,000 labeled images from CIFAR-10.

🛠️ Methods

• CNN architecture with Conv2D, MaxPooling, Dropout
• Data Augmentation using Keras ImageDataGenerator
• Accuracy improved using early stopping & batch normalization

📈 Results

• Final test accuracy: 92%
• Real-time predictions using Streamlit

Tools: Python, TensorFlow/Keras, NumPy, Matplotlib