To enhance deep fake detection by extracting facial features using FaceNet512 and training these features with transfer learning models. Upon detecting deep fake content, the system will automatically send an email alert with the manipulated image.
To develop an advanced fruit classification and grading system using deep learning models (EfficientNetV2-B3, ResNet152V2, and ResNet50V2) for comparative analysis and to implement an alert mechanism for detecting bad-quality fruits.
Python
