Points of interest in a location sharing system

A system, comprising:

• one or more processors;
• and
• a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• training a machine learning model with a labeled dataset, the labeled dataset comprising first data points indicating at least one user being previously located at a labeled place;
• receiving, from a first client device associated with a first user, an electronic communication containing current location data;
• determining, using the trained machine learning model, that the first user is located at the labeled place;
• and
• initiating, based on determining that the first user is located at the labeled place, transmission of data to a second client device by attaching the data to a message accessible for a predetermined duration of time, the data indicating the labeled place at which the first user is located for display on a display screen of the second client device.

A non-transitory computer-readable medium comprising instructions, which when executed by a computing device, cause the computing device to perform operations comprising:

• training a machine learning model with a labeled dataset, the labeled dataset comprising first data points indicating at least one user being previously located at a labeled place;
• receiving, from a first client device associated with a first user, an electronic communication containing current location data;
• determining, using the trained machine learning model, that the first user is located at the labeled place;
• and
• initiating, based on determining that the first user is located at the labeled place, transmission of data to a second client device by attaching the data to a message accessible for a predetermined duration of time, the data indicating the labeled place at which the first user is located for display on a display screen of the second client device.