Determining chronotypes of users for display within a scheduling interface

A system comprising:

• at least one processor;
• and
• a non-transitory computer-readable medium comprising instructions that, when executed by the at least one processor, cause the system to:
• identify time zones for a set of users associated with client devices in different geographic locations;
• determine chronotypes, utilizing a chronotype machine learning model, for each user within the set of users;
• provide, for display within a scheduling interface presented on a client device, a scheduling timeline for each user of the set of users, each scheduling timeline indicating a corresponding time zone and visually representing a chronotype of each user of the set of users;
• and
• based on receiving a user interaction within the scheduling interface, generate a calendar event for a subset of users from the set of users based on the time zones and the chronotypes for each user within the set of users.

A non-transitory computer-readable medium comprising instructions that, when executed by at least one processor, cause the at least one processor to:

• identify time zones for a set of users associated with client devices in different geographic locations;
• determine chronotypes, utilizing a chronotype machine learning model, for each user within the set of users;
• provide, for display within a scheduling interface presented on a client device, a scheduling timeline for each user of the set of users, wherein a given scheduling timeline indicates a corresponding time zone for a given user from the set of users and visually represents a chronotype of the given user;
• and
• based on receiving a user interaction within the scheduling interface, generate a calendar event for a subset of users from the set of users based on the time zones and the chronotypes for each user of within the subset of users without navigating to another interface.