Abstract: A powerlifting training method is disclosed. The method may include obtaining a powerlifting video associated with a user from a user device. The powerlifting video may include a plurality of frames. The method may further include obtaining a plurality of body identification data associated with each frame from a server. Further, the method may include generating a plurality of feature maps associated with the plurality of frames by using a first trained machine learning module. The method may additionally include merging the plurality of body identification data and the plurality of feature maps to create a merged dataset. The method may further include determining, via a second trained machine learning module, one or more recommendations based on the merged dataset. Furthermore, the method may include transmitting the recommendations to the user device.

Abstract: A powerlifting training method is disclosed. The method may include obtaining a powerlifting video associated with a user from a user device. The powerlifting video may include a plurality of frames. The method may further include obtaining a plurality of body identification data associated with each frame from a server. Further, the method may include generating a plurality of feature maps associated with the plurality of frames by using a first trained machine learning module. The method may additionally include merging the plurality of body identification data and the plurality of feature maps to create a merged dataset. The method may further include determining, via a second trained machine learning module, one or more recommendations based on the merged dataset. Furthermore, the method may include transmitting the recommendations to the user device.