Abstract: The present invention relates to an artificial intelligence based system and method for moderating interaction between interacting users. The attempt is to improve emotional intelligence of users so that a seasoned response and reaction is observed during interaction, even if situations of conflict arise. The disclosure, thus, provides for a mixed reality glass powered assistant that displays the moderated expressions of a customer to the service provider. For the same, the analytical engine upon determining the negative emotions of customer, transforms the image of customer and adds smile to his face, which is presented to the service provider via a mixed reality glass so that he responds back to the customer in a positive manner.

Abstract: The present invention relates to an artificial intelligence based system and method for moderating interaction between interacting users. The attempt is to improve emotional intelligence of users so that a seasoned response and reaction is observed during interaction, even if situations of conflict arise. The disclosure, thus, provides for a mixed reality glass powered assistant that displays the moderated expressions of a customer to the service provider. For the same, the analytical engine upon determining the negative emotions of customer, transforms the image of customer and adds smile to his face, which is presented to the service provider via a mixed reality glass so that he responds back to the customer in a positive manner.

Abstract: A system and computer-implemented method for classifying skin disorders using an image of a skin portion is provided. The system comprises a server configured to receive the image of the skin portion from an electronic communication device and process the received image of the skin portion, wherein the processing comprises at least one of: resizing, removing artifacts and noise, applying new color space, sharpening the image and correcting background. Furthermore, the server is configured to segment the processed image to identify the region of interest within the processed image and extract one or more features from the identified region of interest. The system further comprises a trained learning module configured to classify the skin disorder by mapping the extracted features with pre-stored images, wherein the pre-stored images that map with the extracted features are associated with a particular category of skin disorder.

Abstract: A system and computer-implemented method for classifying skin disorders using an image of a skin portion is provided. The system comprises a server configured to receive the image of the skin portion from an electronic communication device and process the received image of the skin portion, wherein the processing comprises at least one of: resizing, removing artifacts and noise, applying new color space, sharpening the image and correcting background. Furthermore, the server is configured to segment the processed image to identify the region of interest within the processed image and extract one or more features from the identified region of interest. The system further comprises a trained learning module configured to classify the skin disorder by mapping the extracted features with pre-stored images, wherein the pre-stored images that map with the extracted features are associated with a particular category of skin disorder.