A system for providing customized product recommendations to a user based on a skin age analysis, comprising: a) an image capture device; b) an image of a user captured by the image capture device; and c) a computing device coupled to the image capture device, wherein the computing device includes a memory component that stores logic that causes the system to (i) analyze the captured image of the user using a trained convolutional neural network to predict a user's skin age, wherein the trained convolutional neural network comprises multiple layers of neuron collections that use the same filters for each pixel in a layer and wherein predicting the user's skin age includes identifying at least one pixel in the captured image that is indicative of the user's skin age, where the at least one pixel is identified by a pixel-by-pixel examination of the captured image regarding identifiers of age, (ii) utilize the at least one pixel to generate a heat map that identifies a region of the image that contributes to the user's predicted skin age, where the heat map is a digital image of the user's face in which portions of the image are visually highlighted to identify skin features and/or areas that contribute to the predicted skin age, (iii) display the heat map to the user on a display device visible to the user, and (iv) recommend, based on the skin age analysis, a product for the user to apply to a region of skin for achieving a target skin age, the target skin age being one of: a predetermined number of years less than the skin age; or the actual age of the user. a) an image capture device; b) an image of a user captured by the image capture device; and c) a computing device coupled to the image capture device, wherein the computing device includes a memory component that stores logic that causes the system to (i) analyze the captured image of the user using a trained convolutional neural network to predict a user's skin age, wherein the trained convolutional neural network comprises multiple layers of neuron collections that use the same filters for each pixel in a layer and wherein predicting the user's skin age includes identifying at least one pixel in the captured image that is indicative of the user's skin age, where the at least one pixel is identified by a pixel-by-pixel examination of the captured image regarding identifiers of age, (ii) utilize the at least one pixel to generate a heat map that identifies a region of the image that contributes to the user's predicted skin age, where the heat map is a digital image of the user's face in which portions of the image are visually highlighted to identify skin features and/or areas that contribute to the predicted skin age, (iii) display the heat map to the user on a display device visible to the user, and (iv) recommend, based on the skin age analysis, a product for the user to apply to a region of skin for achieving a target skin age, the target skin age being one of: a predetermined number of years less than the skin age; or the actual age of the user. (i) analyze the captured image of the user using a trained convolutional neural network to predict a user's skin age, wherein the trained convolutional neural network comprises multiple layers of neuron collections that use the same filters for each pixel in a layer and wherein predicting the user's skin age includes identifying at least one pixel in the captured image that is indicative of the user's skin age, where the at least one pixel is identified by a pixel-by-pixel examination of the captured image regarding identifiers of age, (ii) utilize the at least one pixel to generate a heat map that identifies a region of the image that contributes to the user's predicted skin age, where the heat map is a digital image of the user's face in which portions of the image are visually highlighted to identify skin features and/or areas that contribute to the predicted skin age, (iii) display the heat map to the user on a display device visible to the user, and (iv) recommend, based on the skin age analysis, a product for the user to apply to a region of skin for achieving a target skin age, the target skin age being one of: a predetermined number of years less than the skin age; or the actual age of the user.