AuthenTech: Counterfeit Detection using TensorFlow
Overview AuthenTech is a project designed to distinguish between counterfeit and original items using convolutional neural networks (CNNs) and TensorFlow.
Tech Stack TensorFlow: For building and training the CNN model.
Python: Main programming language.
JSON: For loading label data.
OpenCV (cv2): For image processing.
Keras: High-level neural networks API integrated with TensorFlow.
Objectives
Accuracy: High accuracy in distinguishing counterfeit items.
Robustness: Generalize well to unseen data.
Efficiency: Quick image processing for real-time applications.
Impact: Provide a reliable tool against counterfeiting.
Prerequisites
Install TensorFlow: pip install tensorflow
Install OpenCV: pip install opencv-python