🐶🐱Cat vs Dog Image Classifier

📌 Features:

• 📂 Image classification using CNN
• 🧠 Trained using TensorFlow/Keras on labeled pet image dataset
• 🔁 Data augmentation for better generalization
• 📉 Accuracy and loss visualization curves
• ✅ Model validation on unseen test data
• 🌐 Web interface for image upload and prediction

🧠 CNN architecture includes:

• Convolutional Layers: For feature extraction
• Max Pooling Layers: For spatial reduction
• Flatten Layers To convert matrix to vector
• Dense Layers: For final classification

📊 Results:

• Accuracy loss curve
• Confusion Matrix

🔧 Technologies Used:

• Python 3
• Kaggle (for dataset)
• TensorFlow / Keras
• NumPy, Matplotlib, Seaborn
• Computer Vision
• HTML, CSS, JavaScript (for the frontend UI)
• VS Code (for training & development)

Demo.-.Made.with.Clipchamp.mp4