Abstract: A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified area of the property with the damage is mapped to one of a plurality of stored repair procedure templates to generate a list of one or more parts and one or more repair lines to make a repair. The generated data list for the identified area of the property with the damage is provided.