Abstract: Using a trained image classification model, a first image captured using an image capture device is classified, the trained image classification model executing in the same system as the image capture device, the classifying producing an inappropriate content classification of the first image. Using a trained feature extraction model, a pattern within a portion of the first image is recognized from the first image, the trained feature extraction model executing in the same system as the image capture device, the pattern predefined as inappropriate content. Based on the classification and the pattern, the first image is adjusted.

Abstract: A method to automatically position entered content into a matching entry field of an online form accessed from a computing device. A position of an active cursor relative to entry fields of the online form is determined. An expected character and format set is determined for the entry fields of the online form. A first character and format set entered at a first entry field is analyzed to determine whether the entered character and format set matches an expected characters and format set, based on machine learning training for entry field content and format. In response to the character and format set entered in the first entry field failing to match the expected character and format set for the first entry field, entering the first character and format set in a second entry field with a highest match probability between the expected and entered character and format set.

Abstract: A method to automatically position entered content into a matching entry field of an online form accessed from a computing device. A position of an active cursor relative to entry fields of the online form is determined. An expected character and format set is determined for the entry fields of the online form. A first character and format set entered at a first entry field is analyzed to determine whether the entered character and format set matches an expected characters and format set, based on machine learning training for entry field content and format. In response to the character and format set entered in the first entry field failing to match the expected character and format set for the first entry field, entering the first character and format set in a second entry field with a highest match probability between the expected and entered character and format set.