Identify interfaces for each class $($char$,$ int.,float,date.audio,video,algorithm,stat.:Image Processing $($Preprocess$)$:

Standardizes and enhances gemstone and material images for effective analysis in the authentication system.

Model Training $($TrainModel$)$:

Utilizes a diverse dataset to train the machine learning model for accurate detection of genuine gemstones and materials.

Feature Extraction $($ExtractFeatures$)$:

Identifies and extracts distinctive features, such as color patterns and textures, crucial for authentic gemstone and material detection.

User Interface $($HandleUserInput$)$:

Manages and processes user interactions, including input related to gemstone and material details and authentication queries.

Feedback Presentation $($PresentFeedback$)$:

Presents authentication results and additional information to the user in a clear and understandable manner.

Security Implementation $($ImplementSecurity$)$:

Incorporates measures to safeguard the gemstone and material authentication system from unauthorized access and security threats.