Fitness classroom assembly and a method of use

1 . A fitness classroom assembly, wherein the assembly comprises:

a fitness classroom, wherein the fitness classroom comprises:

a first display; and

a second display;

at least a processor communicatively connected to the first display and the second display; and

a memory communicatively connected to the at least processor, the memory containing instructions configuring the at least processor to:

receive primary class content data, wherein the primary class content data comprises primary video display data;

receive secondary class content data, wherein the secondary class content data comprises secondary video display data;

display the primary video display data on the first display to a user;

display the secondary video display data on the second display to the user;

detect a plurality of deficiencies of a movement of the user, wherein detecting the plurality of deficiencies comprises comparing the movement of the user to a predefined movement;

generate, iteratively, by a generative adversarial network (GAN), a supplementary video based on the plurality of deficiencies to demonstrate suggested modifications to the movement of the user, wherein generating the supplementary video comprises:

synchronizing the supplementary video with the movement of the user in real-time;

evaluating an alignment between the supplementary video and the movement of the user to generate feedback;

identifying one or more incorrectly performed poses of the user as a function of the plurality of deficiencies; and

updating the GAN as a function of the feedback and the one or more incorrectly performed poses; and

display the supplementary video to the user, wherein:

the supplementary video comprises a voice-over guidance and visual pose indicators generated by the GAN; and

the supplementary video continuously provides guidance to the user with suggested modifications to the movement of the user in real-time.

2 . The fitness classroom assembly of claim 1 , wherein:

the first display comprises a plurality of first displays; and

the fitness classroom further comprises a user sign-in device, wherein the user sign-in device is configured to assign one first display of the plurality of first displays to the user.

3 . The fitness classroom assembly of claim 1 , wherein the fitness classroom further comprises a user camera, wherein the user camera is further configured to detect user image data.

4 . The fitness classroom assembly of claim 2 , wherein:

the primary video display data comprises instructor image data; and

the memory includes the instructions further configuring the at least a processor to:

generate an analytic feedback as a function of user image data and the instructor image data; and

display the analytic feedback on the second display to the user.

5 . The fitness classroom assembly of claim 1 , wherein:

the fitness classroom further comprises user smart equipment, wherein the user smart equipment is configured to detect user action data; and

the memory includes the instructions further configuring the at least a processor to display the user action data on the second display to the user.

6 . The fitness classroom assembly of claim 5 , wherein the user smart equipment further comprises an indicator, wherein the indicator is configured to display the secondary class content data to the user.

7 . The fitness classroom assembly of claim 6 , wherein the secondary class content data further comprises an instructor feedback.

8 . The fitness classroom assembly of claim 7 , wherein:

the instructor feedback comprises instructor action data; and

the memory includes the instructions further configuring the at least a processor to display the instructor action data of the instructor feedback on the second display.

9 . The fitness classroom assembly of claim 1 , wherein:

the first display comprises an augmented reality (AR) device; and

the AR device of the first display is further configured to display a third-party avatar to the user.

10 . The fitness classroom assembly of claim 1 , wherein:

the first display comprises a virtual reality (VR) device; and

the VR device of the first display is further configured to display an instructor avatar to the user.

11 . The fitness classroom assembly of claim 1 , wherein detecting the plurality of deficiencies further comprises:

receiving, from at least one sensor communicatively connected to the at least a processor, one or more electrical signals as a function of user action data;

processing the one or more electrical signals to generate the movement of the user; and

comparing the movement of the user to a predefined movement to determine the plurality of deficiencies of the movement of the user.

12 . A method of using a fitness classroom assembly, wherein the method comprises:

receiving, using at least a processor, primary class content data, wherein the primary class content data comprises primary video display data;

receiving, using the at least a processor, secondary class content data, wherein the secondary class content data comprises secondary video display data;

displaying, using the at least a processor, the primary video display data on a first display of a fitness classroom to a user;

displaying, using the at least a processor, the secondary video display data on a second display of the fitness classroom to the user;

detecting, using the at least a processor, a plurality of deficiencies of a movement of the user, wherein detecting the plurality of deficiencies comprises comparing the movement of the user to a predefined movement;

generating, iteratively, by a generative adversarial network (GAN), a supplementary video based on the plurality of deficiencies to demonstrate suggested modifications to the movement of the user, using one of, wherein generating the supplementary video comprises:

synchronizing the supplementary video with the movement of the user in real-time;

evaluating an alignment between the supplementary video and the movement of the user to generate feedback;

identifying one or more incorrectly performed poses of the user as a function of the plurality of deficiencies; and

updating the GAN as a function of the feedback and the one or more incorrectly performed poses; and

displaying, using the at least a processor, the supplementary video to the user, wherein:

the supplementary video comprises a voice-over guidance and visual pose indicators generated by the GAN; and

the supplementary video continuously provides guidance to the user with suggested modifications to the movement of the user in real-time.

13 . The method of claim 12 , wherein:

the first display comprises a plurality of first displays; and

the fitness classroom further comprises a user sign-in device, wherein the user sign-in device is configured to assign one first display of the plurality of first displays to the user.

14 . The method of claim 12 , wherein the fitness classroom further comprises a user camera, wherein the user camera is further configured to detect user image data.

15 . The method of claim 13 , wherein the primary video display data comprises instructor image data and further comprising:

generating, using the at least a processor, an analytic feedback as a function of user image data and the instructor image data; and

displaying, using the at least a processor, the analytic feedback on the second display to the user.

16 . The method of claim 12 , wherein the fitness classroom further comprises user smart equipment, wherein the user smart equipment is configured to detect user action data and further comprising:

displaying, using the at least a processor, the user action data on the second display to the user.

17 . The method of claim 16 , wherein the user smart equipment further comprises an indicator, wherein the indicator is configured to display the secondary class content data to the user.

18 . The method of claim 17 , wherein the secondary class content data further comprises an instructor feedback.

19 . The method of claim 18 , wherein the instructor feedback comprises instructor action data and further comprising:

displaying, using the at least a processor, the instructor action data of the instructor feedback on the second display.

20 . The method of claim 12 , wherein the first display comprises an augmented reality (AR) device and further comprising:

displaying, using the AR device of the first display, a third-party avatar to the user.

21 . The method of claim 12 , wherein the first display comprises a virtual reality (VR) device and further comprising:

displaying, using the VR device of the first display, an instructor avatar to the user.

22 . The method of claim 12 , wherein detecting the plurality of deficiencies further comprises:

receiving, from at least one sensor communicatively connected to the at least a processor, one or more electrical signals as a function of user action data;

processing the one or more electrical signals to generate the movement of the user; and

comparing the movement of the user to a predefined movement to determine the plurality of deficiencies of the movement of the user.