Systems and methods of using artificial intelligence and machine learning for generating an alignment plan capable of enabling the aligning of a user's body during a treatment session

A system for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body, the system comprising:

• a memory device for storing instructions;
• and
• a processing device communicatively coupled to the memory device, the processing device configured to execute the instructions to:
• generate, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
• receive treatment data, wherein the treatment data comprises a first position of the user's body while the user is engaged with a treatment apparatus, aspects of a treatment plan for the user, and one or more attributes of the user, wherein the treatment apparatus includes at least one pedal;
• receive cohort user data comprising one or more attributes of respective users associated with the cohort user data, and alignment plan data associated with alignment plans performed by the respective users associated with the cohort user data, wherein at least some of the one or more attributes of the respective users associated with the cohort user data correspond to at least some of the one or more attributes of the user in the treatment data;
• generate, by the artificial intelligence engine that is configured to use the one or more machine learning models, the alignment plan, wherein the generating is based on at least the aspects of the treatment plan, at least some of the cohort user data, and at least one of the one or more attributes of the user, and wherein the alignment plan comprises a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position;
• transmit the alignment plan to a computing device;
• receive output from the computing device, wherein the output is generated by the computing device and based on at least the alignment plan;
• and
• adjust, based on the output from the computing device, at least one aspect of the treatment apparatus.

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• generate, by an artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
• receive treatment data, wherein the treatment data comprises a first position of a user's body while the user is engaged with a treatment apparatus, aspects of a treatment plan for the user, and one or more attributes of the user, wherein the treatment apparatus includes at least one pedal;
• receive cohort user data comprising one or more attributes of respective users associated with the cohort user data, and alignment plan data associated with alignment plans performed by the respective users associated with the cohort user data, wherein at least some of the one or more attributes of the respective users associated with the cohort user data corresponds to at least some of the one or more attributes of the user in the treatment data;
• generate, by the artificial intelligence engine that is configured to user the one or more machine learning models, an alignment plan, wherein the generating is based on at least the aspects of the treatment plan, at least some of the cohort user data, and at least one of the one or more attributes of the user, and wherein the alignment plan comprises a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position;
• transmit the alignment plan to a computing device;
• receive output from the computing device, wherein the output is generated by the computing device and based on at least the alignment plan;
• and
• adjust, based on the output from the computing device, at least one aspect of the treatment apparatus.