Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.

Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.

Abstract: A method receiving at least one transcribed speech file of at least one person; identifying a plurality of utterance-delimited multiword units in the at least one transcribed speech file; generating a plurality of utterance-based data vectors corresponding to the plurality of utterance-delimited multiword units by assigning a numerical data token to each word in each utterance-delimited multiword unit; determining at least one utterance-delimited multiword unit from the plurality of utterance-delimited multiword units having question-indicative word patterns by inputting the plurality of utterance-based data vectors into at least one machine learning model, configured to identify the question-indicative word patterns by computing a probability of a word or groups of words in each of the plurality of utterance-delimited multiword units; and identifying at least one question in the at least one transcribed speech file of the speech of the at least one person using the question-indicative word patterns.

Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.