Abstract: A method and a system for determining similarity between images, using a pair-wise divergence matrix, is disclosed. The method includes computing, by a processor, a pair-wise divergence value of each patch of a first image relative to each patch of the second image using an F-divergence method. The pair-wise divergence value is computed using a probability distribution of each patch of the first image relative to each patch of the second image. The method further includes creating, by the processor, a pair-wise divergence matrix based on the computed pair-wise divergence values of each patch of the first image relative to each patch of the second image. The method further includes calculating, by the processor, a similarity score between the first image and the second image based on the pair-wise divergence matrix.

Abstract: A method and system for determining similarity between sentences using a pair-wise divergence matrix is disclosed. The method includes computing, by a processor, a pair-wise divergence value of each word of a first sentence relative to each word of a second sentence using an F-divergence method selected from a plurality of F-divergence methods. Further, the pair-wise divergence value is computed using a probability distribution of each word of the first sentence relative to each word of the second sentence. The method further includes creating, by the processor, a pair-wise divergence matrix based on the computed pair-wise divergence values. The method further includes calculating, by the processor, a similarity score between the first sentence and the second sentence based on the pair-wise divergence matrix.

Abstract: Disclosed herein, method and system for generating subject lines for emails. The method may include inputting a subject line generation prompt to an LLM. The subject line generation prompt includes a sample subject line for an email, a target customer segment, and instructions for alternative subject line generation. The method may further include generating a set of alternative subject lines in response to the subject line generation prompt. For each subject line of the set of generated alternative subject lines, the method may further include determining a score corresponding to the subject line, calculating a customer segment weighted IV corresponding to the evaluation parameter, determining a weighted quality score using the calculated customer segment weighted IV and the score for each of a set of evaluation parameters. The method may further include selecting an optimal subject line from the set of alternative subject lines based on the weighted quality score.

Abstract: A method for securing metaverse premises using Non-Fungible Tokens (NFTs), is disclosed. In some embodiments, the method includes receiving an access request corresponding to at least one of a plurality of premises, from an avatar of a user. The method further includes retrieving the metadata associated with the avatar of the user based on the NFT, upon receiving the access request. The method further includes validating the access request received from the avatar based on the metadata. The method to validate further includes scanning the metadata associated with the avatar to verify information associated with the avatar based on the NFT. The method further includes providing an access of the at least one of the plurality of premises to the avatar upon validating the access request.

Abstract: The disclosure relates to method and system for intelligently managing time and attendance of a user in an establishment. The method includes recording, by a custom wearable device, a set of evaluation parameters associated with the user; receiving, by an intelligent Access Point Network (IAPN), the set of evaluation parameters from the custom wearable device; computing, by a distance calculator, a distance of the custom wearable device from the IAPN; determining, by an intelligent monitoring subsystem, a valid usage of the custom wearable device based on the set of evaluation parameters using a first trained machine learning model; determining one of a valid presence or a valid movement of the custom wearable device based on the set of evaluation parameters and the distance using a second trained machine learning model; and generating an alert in response to determination of at least one the valid usage or the valid presence.

Abstract: A method for securing metaverse premises using Non-Fungible Tokens (NFTs), is disclosed. In some embodiments, the method includes receiving an access request corresponding to at least one of a plurality of premises, from an avatar of a user. The method further includes retrieving the metadata associated with the avatar of the user based on the NFT, upon receiving the access request. The method further includes validating the access request received from the avatar based on the metadata. The method to validate further includes scanning the metadata associated with the avatar to verify information associated with the avatar based on the NFT. The method further includes providing an access of the at least one of the plurality of premises to the avatar upon validating the access request.

Abstract: The disclosure relates to method and system for intelligently managing time and attendance of a user in an establishment. The method includes recording, by a custom wearable device, a set of evaluation parameters associated with the user; receiving, by an intelligent Access Point Network (IAPN), the set of evaluation parameters from the custom wearable device; computing, by a distance calculator, a distance of the custom wearable device from the IAPN; determining, by an intelligent monitoring subsystem, a valid usage of the custom wearable device based on the set of evaluation parameters using a first trained machine learning model; determining one of a valid presence or a valid movement of the custom wearable device based on the set of evaluation parameters and the distance using a second trained machine learning model; and generating an alert in response to determination of at least one the valid usage or the valid presence.

Abstract: The invention relates to method and system for extracting and classifying manufacturing features from a three-dimensional (3D) model of a product. The method includes generating graph corresponding to product based on 3D model of product. The graph includes nodes corresponding to faces of the product and links corresponding to edges of product. The graph generation includes determining adjacency attribute matrix from the 3D model. The method further includes assigning scores to each of links; determining a cumulative score for each of links; extracting sub-graphs from graph by discarding one or more links from links; extracting node parameters and edge parameters from 3D model of product; determining node feature vector based on node parameters and edge feature vector based on edge parameters; and determining a type of manufacturing feature based on corresponding node feature vector and edge feature vector using a Graph Neural Network (GNN) model.

Abstract: The present disclosure relates to system(s) and method(s) for deploying a data analytics model in a target environment. The system records a set of data pre-processing stages, associated with the data analytics model. The set of data pre-processing stages may comprise receiving raw data, executing a set of ETL functions on the raw data, and executing a set of algorithms on the raw data. Further, the system generates the data analytics model based on the set of algorithms. Furthermore, the system generates a scoring engine workflow, associated with the data analytics model, based on the set of data pre-processing stages. The scoring engine workflow comprises one or more ETL functions and one or more algorithms. Further, the system deploys the data analytics model and the scoring engine workflow in the target environment. The scoring engine workflow enables pre-processing of production data in the target environment.

Abstract: The present disclosure relates to system(s) and method(s) for deploying a data analytics model in a target environment. The system records a set of data pre-processing stages, associated with the data analytics model. The set of data pre-processing stages may comprise receiving raw data, executing a set of ETL functions on the raw data, and executing a set of algorithms on the raw data. Further, the system generates the data analytics model based on the set of algorithms. Furthermore, the system generates a scoring engine workflow, associated with the data analytics model, based on the set of data pre-processing stages. The scoring engine workflow comprises one or more ETL functions and one or more algorithms. Further, the system deploys the data analytics model and the scoring engine workflow in the target environment. The scoring engine workflow enables pre-processing of production data in the target environment.

Abstract: The present disclosure relates to system(s) and method(s) for logging tasks and and transmitting alerts to a user. The method may comprise receiving raw data, associated with a set of activities corresponding to a user. The raw data may be received from a set of data sources. The method may further comprise generating a conversation thread associated with a target activity from the set of activities. The method may further comprise identifying at least one abnormal event associated with the conversation thread, based on analysis of the conversation thread using one or more data analysis algorithms. The method may further comprise transmitting one or more alerts to a user or one or more other users associated with the conversation thread. The one or more alerts may be generated based on the abnormal event corresponding to the conversation thread.