Counterfeit Currency Detector

Developed a user-friendly desktop application for real-time detection of counterfeit banknotes using deep learning. The application is built using PyQt5 for the graphical user interface and integrates a MobileNetV2 model trained on a custom dataset of genuine and fake currency notes. Key Features: - Image Input Options: Users can load currency images from their computer. - Real-Time Prediction: The app instantly analyzes the image and predicts whether the banknote is real or counterfeit. - Deep Learning Model (MobileNetV2): Chosen for its excellent balance of speed and accuracy, especially on low-resource machines. - Preprocessing and Inference: Automatically resizes and normalizes the input image before prediction, showing results with confidence scores. - User Interface (PyQt5): Clean and responsive design with easy navigation and clear result display.