Generating weather data based on messaging system activity

A system comprising:

• a memory that stores instructions;
• and
• one or more hardware processors configured by the instructions to perform operations comprising:
• analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to extract media content items from the messages and generate training data;
• training a machine learning model using the generated training data comprising the media content items to determine a probability that a media content item was generated inside an enclosed location or outside;
• receiving a media content item from a computing device;
• extracting image features from the media content item;
• analyzing the extracted image features of the media content item to determine objects associated with each extracted image feature;
• generating a feature vector based on the determined objects associated with each extracted image feature;
• analyzing the feature vector using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside;
• determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location;
• determining a location of the computing device when the media content item was generated;
• determining a venue associated with the location of the computing device;
• determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type;
• generating creative functionality associated with the inside temperature and the venue or similar venue type;
• and
• providing the creative functionality to the computing device.

A non-transitory computer-readable medium comprising instructions stored thereon that are executable by at least one processor to cause a computing device to perform operations comprising:

• a memory that stores instructions;
• and
• one or more hardware processors configured by the instructions to perform operations comprising:
• analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system, to extract media content items from the messages and generate training data;
• training a machine learning model using the generated training data comprising the media content items to determine a probability that a media content item was generated inside an enclosed location or outside;
• receiving a media content item from a computing device;
• extracting image features from the media content item;
• analyzing the extracted image features of the media content item to determine objects associated with each extracted image feature;
• generating a feature vector based on the determined objects associated with each extracted image feature;
• analyzing the feature vector using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside;
• determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location;
• determining a location of the computing device when the media content item was generated;
• determining a venue associated with the location of the computing device;
• determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type;
• generating creative functionality associated with the inside temperature and the venue or similar venue type;
• and
• providing the creative functionality to the computing device.