PawPrint is a premium dog breed classification application that uses Deep Learning (TensorFlow Lite) for high-accuracy visual recognition and a comprehensive local database for detailed breed insights.

• Instant Breed Recognition: High-accuracy classification using a custom TensorFlow Lite model supporting 122 dog breeds.
• GOD MODE Premium UI: Professional, high-fidelity user interface with biometric scanning animations and real-time visual feedback.
• Comprehensive Local Database: Detailed insights for 122 breeds, including history, traits, fun facts, origin, size, temperament, and health notes.
• Internet-Ready Photos: Reliable, high-quality breed images sourced from Wikimedia Commons.
• Professional PDF Reports: Generate and download detailed analytical reports for any detected breed.
• Zero-Latency Insights: No external AI API dependencies, ensuring lightning-fast results and 100% privacy.

• /frontend: Premium UI built with Tailwind CSS, featuring advanced scanning animations and high-fidelity layout.
• /backend: Flask-based API serving predictions using TFLite and a 122-breed comprehensive local database.

1. Navigate to /backend.
2. Install dependencies: pip install -r requirements.txt.
3. Run the server: python serve.py.

1. Open frontend/index.html in your browser (no build step required for static serving).
2. Ensure the backend is running for prediction functionality.

• ML Model: TensorFlow Lite (.tflite) for optimized on-device or server-side inference.
• Data Source: Custom-built breed_database.py containing curated data for all supported labels.
• Animations: CSS-driven biometric scanning effects and premium HUD visualizations.
• PDF Generation: Powered by ReportLab for professional-grade document creation.