Abstract: Systems and methods for using machine learning for performing requests based on user communications. A communication with a trigger event including a natural language description may be received. The natural language description may be input into a large language model to identify a problem within the natural language description. The large language model may also generate a response to the communication. The problem may compare with a plurality of problems within a problem database, and a determination may be made whether the problem is associated with an action. Based on the determination that the problem is associated with an action, a corresponding action description and the one or more corresponding transmission targets may be retrieved. A message with the action may then be generated to the one or more corresponding transmission targets.

Abstract: Systems and methods are disclosed herein for linking properties with on-chain data structures. An on-chain processing system may use the following operations to link properties with on-chain data structures. The on-chain processing system may receive a request to obtain control of an on-chain data structure corresponding to immovable property. In response to the request, the on-chain processing system may authenticate the user to determine whether the user controls (e.g., owns) the immovable property in the real world. Based on determining that the user controls the immovable property, the on-chain processing system may retrieve property information associated with that immovable property and encrypt that property information using a public key corresponding to the user. The on-chain processing system may then transmit a data package that includes the encrypted property information to be stored in association with the link within the on-chain data structure.

Abstract: Systems and methods are disclosed herein for linking properties with on-chain data structures. An on-chain processing system may use the following operations to link properties with on-chain data structures. The on-chain processing system may receive a request to obtain control of an on-chain data structure corresponding to immovable property. In response to the request, the on-chain processing system may authenticate the user to determine whether the user controls (e.g., owns) the immovable property in the real world. Based on determining that the user controls the immovable property, the on-chain processing system may retrieve property information associated with that immovable property and encrypt that property information using a public key corresponding to the user. The on-chain processing system may then transmit a data package that includes the encrypted property information to be stored in association with the link within the on-chain data structure.

Abstract: Systems and methods for using machine learning for performing requests based on user communications. A communication with a trigger event including a natural language description may be received. The natural language description may be input into a large language model to identify a problem within the natural language description. The large language model may also generate a response to the communication. The problem may compare with a plurality of problems within a problem database, and a determination may be made whether the problem is associated with an action. Based on the determination that the problem is associated with an action, a corresponding action description and the one or more corresponding transmission targets may be retrieved. A message with the action may then be generated to the one or more corresponding transmission targets.