Abstract: Provided are systems and methods for determining behaviors of a user that are associated with earning secondary income. In one example, a method may include receiving a request from a user device, identifying productivity attributes and consumption attributes of a user associated with the user device based on behavior of the user captured over time, determining a recommended value-generating behavior for the user via execution of a collaborative filtering model, where the collaborative filtering model receives the productivity and consumption attributes of the user and determines the recommended value-generating behavior based on historical value-generating behavior of other users having similar productivity attributes and consumption attributes, and transmitting the recommended value-generating behavior to the user device via a content channel between the server and the user device.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and any interest before the account holder needs the money back. For example, a method may include executing a machine learning model on ingested data records to identify a temporary value that is idle in an account and a period of time that the temporary value is idle, displaying the determined temporary value, the period of time, and one or more recommendations of one or more blockchain networks, receiving authorization and a selection of a blockchain network from a user interface, installing a pre-programmed blockchain wallet on a blockchain ledger of the selected blockchain network, and triggering a transfer of funds from the account of the user to the pre-programmed blockchain wallet via a crypto-exchange server which converts the funds to cryptocurrency prior to the transfer.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and interest before the cash is needed. As an example, the method may include installing a blockchain smart contract on a blockchain ledger with read access to content stored on the blockchain ledger, establishing a communication channel between a monitoring engine and the blockchain smart contract, configuring the monitoring engine to identify stop conditions from content stored on the blockchain ledger, monitoring the blockchain ledger for updates to content stored on the blockchain ledger via the communication channel and detecting a stop condition based on an update to the blockchain ledger via the monitoring engine, and in response the detected stop condition, transmitting a request to the crypto-exchange server to return the funds to the external data source.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and any interest before the account holder needs the money back. For example, a method may include executing a machine learning model on ingested data records to identify a temporary value that is idle in an account and a period of time that the temporary value is idle, displaying the determined temporary value, the period of time, and one or more recommendations of one or more blockchain networks, receiving authorization and a selection of a blockchain network from a user interface, installing a pre-programmed blockchain wallet on a blockchain ledger of the selected blockchain network, and triggering a transfer of funds from the account of the user to the pre-programmed blockchain wallet via a crypto-exchange server which converts the funds to cryptocurrency prior to the transfer.

Abstract: In an aspect, an apparatus for resource enhancement is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to generate a host platform. A host platform is configured to receive resource data from a user. At least a processor is configured to compare resource data of a user to a resource enhancement metric. At least a processor is configured to calculate, as a function of a comparison, a resource variability. At least a processor is configured to execute, as a function of a resource variability, a resource enhancement process.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and interest before the cash is needed. As an example, the method may include installing a blockchain smart contract on a blockchain ledger with read access to content stored on the blockchain ledger, establishing a communication channel between a monitoring engine and the blockchain smart contract, configuring the monitoring engine to identify stop conditions from content stored on the blockchain ledger, monitoring the blockchain ledger for updates to content stored on the blockchain ledger via the communication channel and detecting a stop condition based on an update to the blockchain ledger via the monitoring engine, and in response the detected stop condition, transmitting a request to the crypto-exchange server to return the funds to the external data source.

Abstract: In an aspect, an apparatus for generating a resource enhancement probability model is presented. An apparatus may include at least a processor and a memory communicatively connected to the at least a processor. At least a processor may be configured to receive resource data. At least a processor may be configured to compare resource data to a resource enhancement metric. At least a processor may generate a resource enhancement probability model as a function of a comparison. At least a processor may calculate, as a function of a resource enhancement probability model, a resource enchantment probability.

Abstract: Provided are systems and methods for generating propensity-driven employment-based search results. In one example, a method may include retrieving consumption data of a user associated with the user device and geographic location data of at least one of the user and the user device, the consumption data comprising behavior of the user captured over time, predicting one or more value-generating opportunities for the user from among a pool of value-generating opportunities via execution of a predictive model, where the predictive model determines a propensity of the user to respond to the value-generating opportunities based on the behavioral attributes included in the retrieved consumption data of the user and the geographical location data, and transmitting the one or more predicted value-generating opportunities to the user device via a content channel between the server and the user device.

Abstract: Provided are systems and methods for improving understanding and access of unstructured text-based web postings. In one example, a method may include receiving a web posting comprising unstructured text, identifying one or more explicit attributes of an activity based on text expressly recited in the unstructured text, determining one or more hidden attributes of the activity not recited in the unstructured text based on a pattern of words included in the unstructured text, converting the unstructured text into a structured object format comprising the one or more explicit attributes and the one or more determined hidden attributes, and outputting the web posting with the structured object format for display via a user interface.

Abstract: Provided are systems and methods for improving understanding and access of unstructured text-based web postings. In one example, a method may include receiving a web posting comprising unstructured text, identifying one or more explicit attributes of an activity based on text expressly recited in the unstructured text, determining one or more hidden attributes of the activity not recited in the unstructured text based on a pattern of words included in the unstructured text, converting the unstructured text into a structured object format comprising the one or more explicit attributes and the one or more determined hidden attributes, and outputting the web posting with the structured object format for display via a user interface.

Abstract: Provided are systems and methods for improving understanding and access of unstructured text-based web postings. In one example, a method may include receiving a web posting comprising unstructured text, identifying one or more explicit attributes of an activity based on text expressly recited in the unstructured text, determining one or more hidden attributes of the activity not recited in the unstructured text based on a pattern of words included in the unstructured text, converting the unstructured text into a structured object format comprising the one or more explicit attributes and the one or more determined hidden attributes, and outputting the web posting with the structured object format for display via a user interface.

Abstract: Provided are systems and methods for generating propensity-driven employment-based search results. In one example, a method may include retrieving consumption data of a user associated with the user device and geographic location data of at least one of the user and the user device, the consumption data comprising behavior of the user captured over time, predicting one or more value-generating opportunities for the user from among a pool of value-generating opportunities via execution of a predictive model, where the predictive model determines a propensity of the user to respond to the value-generating opportunities based on the behavioral attributes included in the retrieved consumption data of the user and the geographical location data, and transmitting the one or more predicted value-generating opportunities to the user device via a content channel between the server and the user device.

Abstract: Provided are systems and methods for determining behaviors of a user that are associated with earning secondary income. In one example, a method may include receiving a request from a user device, identifying productivity attributes and consumption attributes of a user associated with the user device based on behavior of the user captured over time, determining a recommended value-generating behavior for the user via execution of a collaborative filtering model, where the collaborative filtering model receives the productivity and consumption attributes of the user and determines the recommended value-generating behavior based on historical value-generating behavior of other users having similar productivity attributes and consumption attributes, and transmitting the recommended value-generating behavior to the user device via a content channel between the server and the user device.

Abstract: Provided are systems and methods for improving understanding and access of unstructured text-based web postings. In one example, a method may include receiving a web posting comprising unstructured text, identifying one or more explicit attributes of an activity based on text expressly recited in the unstructured text, determining one or more hidden attributes of the activity not recited in the unstructured text based on a pattern of words included in the unstructured text, converting the unstructured text into a structured object format comprising the one or more explicit attributes and the one or more determined hidden attributes, and outputting the web posting with the structured object format for display via a user interface.

Abstract: Provided are systems and methods for improving understanding and access of unstructured text-based web postings. In one example, a method may include receiving a web posting comprising unstructured text, identifying one or more explicit attributes of an activity based on text expressly recited in the unstructured text, determining one or more hidden attributes of the activity not recited in the unstructured text based on a pattern of words included in the unstructured text, converting the unstructured text into a structured object format comprising the one or more explicit attributes and the one or more determined hidden attributes, and outputting the web posting with the structured object format for display via a user interface.