Abstract: A method for classifying a document in real-time is disclosed. The method includes identifying one or more sections of the document likely to contain text based on a contrast between dark space and light space in an image of the document. Optical character recognition is performed within the identified sections of the document to identify a set of words within each identified section of the document. The sets of words are extracted from the identified sections of the document, and a subset of the sets of words is selected for classifying the document based on a preconfigured option. The document is then classified by inputting the selected subset of words into one or more machine learning models. The method includes transmitting the document and the determined classification of the document to an external server.

Abstract: A computer-implemented method includes determining a number of distance points connected to a person at a point in time, scraping a plurality of indexes corresponding to a respective plurality of journey hosts to identify a plurality of journey possibilities for each journey host of the plurality of journey hosts, generating a plurality of reachable locations based on the number of distance points and the journey possibilities, the plurality of reachable locations comprising at least a subset of the plurality of journey possibilities correlated to the number of distance points, receiving location signals generated via a location sensor of a device associated with the person, identifying one or more previous locations of the device based on the location signals, identifying a subset of the reachable locations based on the previous locations of the device, and generating a graphical interface to visually display the subset of the reachable locations on a map.

Abstract: A computer-implemented method includes determining a number of distance points connected to a person at a point in time, scraping a plurality of indexes corresponding to a respective plurality of journey hosts to identify a plurality of journey possibilities for each journey host of the plurality of journey hosts, generating a plurality of reachable locations based on the number of distance points and the journey possibilities, the plurality of reachable locations comprising at least a subset of the plurality of journey possibilities correlated to the number of distance points, receiving location signals generated via a location sensor of a device associated with the person, identifying one or more previous locations of the device based on the location signals, identifying a subset of the reachable locations based on the previous locations of the device, and generating a graphical interface to visually display the subset of the reachable locations on a map.

Abstract: A method for classifying a document in real-time is disclosed. The method includes identifying one or more sections of the document likely to contain text based on a contrast between dark space and light space in an image of the document. Optical character recognition is performed within the identified sections of the document to identify a set of words within each identified section of the document. The sets of words are extracted from the identified sections of the document, and a subset of the sets of words is selected for classifying the document based on a preconfigured option. The document is then classified by inputting the selected subset of words into one or more machine learning models. The method includes transmitting the document and the determined classification of the document to an external server.

Abstract: A computer-implemented method includes determining a number of distance points connected to a person at a point in time, scraping a plurality of indexes corresponding to a respective plurality of journey hosts to identify a plurality of journey possibilities for each journey host of the plurality of journey hosts, generating a plurality of reachable locations based on the number of distance points and the journey possibilities, the plurality of reachable locations comprising at least a subset of the plurality of journey possibilities correlated to the number of distance points, receiving location signals generated via a location sensor of a device associated with the person, identifying one or more previous locations of the device based on the location signals, identifying a subset of the reachable locations based on the previous locations of the device, and generating a graphical interface to visually display the subset of the reachable locations on a map.