System and method for fashion recommendations

1. A method for assisting an individual with the task of selecting a preferred matching set of garments to assemble an outfit for the individual, the method comprising: providing a data storage system for storing digital renditions of garments; providing a portable communication device to extract color and/or pattern from garments through use of a camera and at least one algorithm; providing a processor capable of accessing locally stored and/or remote information about or learning the preferred matching set of garments; assigning each garment in the set of garments a red-green-blue (RGB) value; providing a suitability ranking for matching compatibility of the garment or the set of garments; and providing recommendations for preferred matching garment or set of garments by organizing the garments in at least one queue selected from the group consisting of audial, tactile, visual or a combination thereof, wherein the individual can touch a spot on the digital renditions of the garments or accessories to determine its RGB value, further wherein the RGB value associated with a particular garment or accessory is mapped to exemplar RGB values associated with specified colors, wherein the individual imports garments or set of garments, through a series of photos or video, for bulk import into a virtual closet, wherein the virtual closet is used to create a series of suggested combinations including one or more of the following: garments, accessories, makeup and skin tones in order to assemble colors of a virtual character operating relative to the colors of a virtual background in a virtual environment based on the virtual closet.

2. The method of claim 1 where quality associated with matching of clothing is represented to the individual through audio feedback in the form of a tone or voice.

3. The method of claim 1 where quality associated with matching of clothing is represented to the individual through vibration or tactile sensation.

4. The method of claim 1 where quality associated with matching of clothing is represented to the individual numerically.

5. The method of claim 1 where quality associated with matching of clothing is represented to the individual using language.

6. The method of claim 1 where garments are associated with an RGB value that is most representative of the garment.

7. The method of claim 1 wherein the algorithm is a case-based procedure.

8. The method of claim 1 wherein data are collected from a social network of individuals.

9. The method of claim 1 wherein the garments or set of garments are inputted to a software application using a process of bulk import via photography or video.

10. The method of claim 1 where photos of garments, makeup, facial features, and skin tones are provided to the virtual closet.

11. The method of claim 1 where garments, makeup, facial features, and skin tones are associated with color palettes appropriate to the range and granularity of colors within each of those domains.

12. The method of claim 1 where color combinations of garments, makeup, and facial features are evaluated for their quality.

13. The method of claim 1 where machine learning techniques are used to automatically identify the locations and colors associated with facial features.

14. The method of claim 13 where the machine learning techniques include a combination of neural networks or deep learning, evolutionary algorithms, reinforcement learning, support vector machines, random forest methods, swarm optimization and fuzzy logic.

15. The method of claim 1 where a database of outfit information is generated including information about garments, makeup, facial features, skin tone, and associated seasons, venues, or fashion trends.

16. The method of claim 1 , wherein the virtual closet may be connected with other virtual closets between other individuals.

17. The method of claim 1 , wherein images selected from the virtual closet are placed on a virtual character operating within a virtual environment.

18. The method of claim 1 , wherein virtual skins are created based on the colors, patterns, images, makeup, and/or skin tone, that comprise the virtual character operating in the virtual environment.

19. The method of claim 18 , wherein the virtual skins can be scored relative to the virtual backgrounds or wherein the virtual backgrounds can be scored relative to the virtual skins and further wherein the color of the virtual skins and/or the virtual backgrounds can be adjusted resulting in alternate virtual environments.

20. The method of claim 19 , wherein a software application using statistical methods and/or machine learning evaluates combinations of the virtual skins and the virtual backgrounds based on their associated colors and makes appropriate adjustments in order to maximize performance in the virtual environments, wherein the machine learning comprises a combination of neural networks or deep learning, evolutionary algorithms, reinforcement learning, support vector machines, random forest methods, swarm optimization and fuzzy logic.

21. The method of claim 20 , wherein iterative variation, scoring, and selection results in new virtual skins, new virtual backgrounds and new virtual environments.

22. The method of claim 20 , wherein combinations of the virtual skins and/or the virtual backgrounds are exported as non-fungible tokens, and/or stored in a database for the understanding of color matching and its relation to fashion with the purpose of generating novel real garments specific to the colors of venues.

23. The method of claim 20 wherein useful combinations of the virtual skins and the virtual backgrounds are preserved as virtual filters for individuals in virtual world and/or real-world settings.

24. The method of claim 19 wherein non-visual senses are used to enhance or change the perception of color in the virtual environments.

25. The method of claim 18 wherein the virtual skins can be overlayed to change the resulting color apparent to the individual.