Capturing and Extracting Fragmented Data and Data Processing Using Machine Learning

An apparatus, comprising:

• a processor;
• and
• memory storing computer-executable instructions that, when executed by the processor, cause the apparatus to:
• generate a display for receiving fragmented data associated with a user;
• send, to a user device associated with the user, the display for receiving fragmented data;
• receive, from the user device and via the display for receiving fragmented data, first fragmented data associated with the user;
• extract a plurality of data entries from the first fragmented data, the plurality of data entries being identified for extraction based on metadata in the first fragmented data;
• send, to the user device, a request for data associated with a first data entry of the plurality of data entries;
• determine, using machine learning, a data category for each data entry of the plurality of data entries;
• and
• based on the determined data category for each data entry of the plurality of data entries, determine one or more of a number of entries in each data category or an amount associated with each data category.

One or more non-transitory computer-readable medium having instructions stored thereon that, when executed by one or more computing devices, cause the one or more computing devices to:

• generate a display for receiving fragmented data associated with a user;
• send, to a user device associated with the user, the display for receiving fragmented data;
• receive, from the user device and via the display for receiving fragmented data, first fragmented data associated with the user;
• extract a plurality of data entries from the first fragmented data, the plurality of data entries being identified for extraction based on metadata in the first fragmented data;
• send, to the user device, a request for data associated with a first data entry of the plurality of data entries;
• determine, using machine learning, a data category for each data entry of the plurality of data entries;
• and
• based on the determined data category for each data entry of the plurality of data entries, determine one or more of a number of entries in each data category or an amount associated with each data category.