Auto generate and process electronic content in a secured way using gen AI and hash-based attribute level security in a DeFi network
Generating and processing electronic content in a decentralized finance network using distributed ledger technology is disclosed. Transaction security and efficiency is enhanced by integrating generative AI with hash-based security and NFTs in a DeFi network. User devices capture a customer prompt specifying a financial transaction request, which a generative AI module analyzes to extract attributes and determine a transaction type. A webhook transmits the attributes to distributed nodes, and a security module generates a hash-based security token for attribute-level security. A content assembly module creates a JSON object based on node responses and smart contract rules. The generative artificial intelligence module generates a dynamic electronic form, prepopulating fields with network data. User input populates the form, which a tokenization module mints as a non-fungible token with a validity period. Nodes process the non-fungible token to execute the transaction, using the security token for verification, with results recorded on the ledger.
1 . A method for generating and processing electronic content in a decentralized network, comprising:
capturing, by a user device, a customer prompt provided through an input modality, wherein the customer prompt specifies a transaction request;
analyzing, by a generative artificial intelligence module, the customer prompt to extract a set of attributes and determine a transaction type associated with the transaction request;
transmitting, via a webhook, a payload including the set of attributes and the transaction type to a plurality of distributed nodes in the decentralized network, wherein each node is associated with a platform configured to process a specific aspect of the transaction request;
optimizing network latency by prioritizing webhook payload transmission to the plurality of distributed nodes based on real-time blockchain consensus data;
generating, by a security module, a hash-based security token containing a distributed hash table mapping each attribute in the set of attributes to a unique hash address;
distributing, across the plurality of distributed nodes, the hash-based security token to enable attribute-level security for the set of attributes;
assembling, by a content assembly module, a JavaScript Object Notation (JSON) object containing the set of attributes based on responses from the plurality of distributed nodes and rules defined in a smart contract hosted on a distributed ledger;
generating, by the generative artificial intelligence module, a dynamic electronic form on the user device, wherein the dynamic electronic form includes fields corresponding to the set of attributes in the JSON object;
dynamically adjusting, by the generative artificial intelligence module, the dynamic electronic form with fields tailored to a user profile retrieved from the distributed ledger in real-time based on the transaction type;
receiving, via the user device, user input populating the fields of the dynamic electronic form;
minting, by a tokenization module, a non-fungible token representing the populated dynamic electronic form, wherein the non-fungible token includes the set of attributes and a validity period; and
processing, by the plurality of distributed nodes, the non-fungible token to execute the transaction request using the hash-based security token to verify the set of attributes.
2 . The method of claim 1 , wherein the input modality includes at least one of voice input, text input, or gesture input, and the transaction request is a financial transaction request, and the decentralized network is a decentralized finance network.
3 . The method of claim 2 , further comprising:
classifying, by the generative artificial intelligence module, an intent of the customer prompt using a transformer-based neural network model fine-tuned on decentralized finance transaction data; and
mapping the intent to the set of attributes required for the transaction type.
4 . The method of claim 3 , wherein the payload transmitted via the webhook further includes metadata specifying the intent of the customer prompt.
5 . The method of claim 4 , wherein generating the hash-based security token further comprises assigning a distributed hash table range to each attribute based on its data type.
6 . The method of claim 5 , wherein the smart contract defines workflow rules specifying a sequence of operations for processing the set of attributes.
7 . The method of claim 6 , further comprising:
prepopulating, by the generative artificial intelligence module, at least one field in the dynamic electronic form with data retrieved from the decentralized finance network; and
validating user input against the prepopulated data.
8 . The method of claim 7 , wherein the validity period of the non-fungible token is determined based on the transaction type.
9 . The method of claim 8 , further comprising:
monitoring, by a validation module, a current timestamp against the validity period using a blockchain-based event listener that triggers real-time notifications to nodes; and
transitioning the non-fungible token to a passive state in response to the validity period being exceeded.
10 . The method of claim 9 , wherein processing the non-fungible token further comprises recording transaction results on the distributed ledger.
11 . A method for generating and processing electronic content in a decentralized finance network, comprising:
capturing, by a user device, a customer prompt provided through an input modality selected from voice input, text input, or gesture input, wherein the customer prompt specifies a financial transaction request;
analyzing, by a generative artificial intelligence module, the customer prompt to extract a set of attributes, classify an intent of the customer prompt, and determine a transaction type associated with the financial transaction request;
mapping, by the generative artificial intelligence module, the intent to the set of attributes required for the transaction type;
transmitting, via a webhook, a payload including the set of attributes, the transaction type, and metadata specifying the intent to a plurality of distributed nodes in the decentralized finance network, wherein each node is associated with a platform configured to process a specific aspect of the financial transaction request;
optimizing network latency by prioritizing webhook payload transmission to the plurality of distributed nodes based on real-time blockchain consensus data;
generating, by a security module, a hash-based security token containing a distributed hash table mapping each attribute in the set of attributes to a unique hash address, wherein a distributed hash table range is assigned to each attribute based on its data type;
distributing, across the plurality of distributed nodes, the hash-based security token to enable attribute-level security for the set of attributes;
assembling, by a content assembly module, a JavaScript Object Notation (JSON) object containing the set of attributes based on responses from the plurality of distributed nodes and workflow rules defined in a smart contract hosted on a distributed ledger, wherein the workflow rules specify a sequence of operations for processing the set of attributes;
generating, by the generative artificial intelligence module, a dynamic electronic form on the user device, wherein the dynamic electronic form includes fields corresponding to the set of attributes in the JSON object;
dynamically adjusting, by the generative artificial intelligence module, the dynamic electronic form with fields tailored to a user profile retrieved from the distributed ledger in real-time based on the transaction type;
prepopulating, by the generative artificial intelligence module, at least one field in the dynamic electronic form with data retrieved from the decentralized finance network;
validating, by the generative artificial intelligence module, user input against the prepopulated data;
receiving, via the user device, user input populating the fields of the dynamic electronic form;
minting, by a tokenization module, a non-fungible token representing the populated dynamic electronic form, wherein the non-fungible token includes the set of attributes and a validity period based on the transaction type;
monitoring, by a validation module, a current timestamp against the validity period;
dynamically adjusting, by the validation module, the validity period of the non-fungible token based on real-time regulatory requirements retrieved from the distributed ledger;
transitioning, by the validation module, the non-fungible token to a passive state in response to the validity period being exceeded;
processing, by the plurality of distributed nodes, the non-fungible token to execute the financial transaction request using the hash-based security token to verify the set of attributes;
recording, by the plurality of distributed nodes, transaction results on the distributed ledger; and
notifying, by the validation module, the plurality of distributed nodes of the non-fungible token's passive state if transitioned.
12 . A system for generating and processing electronic content in a decentralized finance network, comprising:
one or more processors;
one or more computer-readable memory devices storing processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to:
capture a customer prompt provided through an input modality, wherein the customer prompt specifies a financial transaction request;
analyze the customer prompt to extract a set of attributes and determine a transaction type associated with the financial transaction request;
transmit a payload including the set of attributes and the transaction type to a plurality of distributed nodes in the decentralized finance network, wherein each node is associated with a platform configured to process a specific aspect of the financial transaction request;
optimize network latency by prioritizing payload transmission to the plurality of distributed nodes based on real-time blockchain consensus data;
generate a hash-based security token containing a distributed hash table mapping each attribute in the set of attributes to a unique hash address;
distribute the hash-based security token across the plurality of distributed nodes to enable attribute-level security for the set of attributes;
assemble a JavaScript Object Notation (JSON) object containing the set of attributes based on responses from the plurality of distributed nodes and rules defined in a smart contract hosted on a distributed ledger;
generate a dynamic electronic form on a user device, wherein the dynamic electronic form includes fields corresponding to the set of attributes in the JSON object;
dynamically adjust the dynamic electronic form with fields tailored to a user profile retrieved from the distributed ledger in real-time based on the transaction type;
employ a machine learning model trained on historical user interactions to optimize field placement and validation rules in the dynamic electronic form;
receive user input populating the fields of the dynamic electronic form;
mint a non-fungible token representing the populated dynamic electronic form, wherein the non-fungible token includes the set of attributes and a validity period; and
process the non-fungible token across the plurality of distributed nodes to execute the financial transaction request using the hash-based security token to verify the set of attributes.
13 . The system of claim 12 , wherein the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to classify an intent of the customer prompt.
14 . The system of claim 13 , wherein the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to map the intent to the set of attributes required for the transaction type.
15 . The system of claim 14 , wherein the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to include metadata specifying a prioritized node routing sequence based on transaction type in the payload.
16 . The system of claim 15 , wherein the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to assign a distributed hash table range to each attribute based on its data type.
17 . The system of claim 16 , wherein the smart contract includes workflow rules specifying a sequence of operations for processing the set of attributes.
18 . The system of claim 17 , the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to prepopulate at least one field in the dynamic electronic form with data retrieved from the decentralized finance network.
19 . The system of claim 18 , wherein the processor-executable instructions, when executed by the one or more processors, further cause the one or more processors to determine the validity period of the non-fungible token based on the transaction type.
20 . The system of claim 19 , the processor-executable instructions, when executed by the one or more processors, further causing the one or more processors to:
monitor a current timestamp against the validity period of the non-fungible token;
transition the non-fungible token to a passive state in response to the validity period being exceeded;
notify the plurality of distributed nodes of the non-fungible token's passive state;
record transaction results on the distributed ledger;
validate user input against prepopulated data in the dynamic electronic form;
adapt validation rules in real-time based on machine learning analysis of node response patterns;
apply field-specific validation rules derived from the smart contract to ensure accuracy of user input;
receive responses from the plurality of distributed nodes confirming receipt of the hash-based security token; and
verify the integrity of the non-fungible token by comparing its attributes against the hash-based security token before executing the financial transaction request.