Abstract: This disclosure relates to system and method for preserving privacy of telematic data. The method includes receiving telematic data from a vehicle and a set of predefined policies from an insurance provider. The telematic data and the set of predefined policies are homomorphically encrypted through a multi-key homomorphic encryption technique. The method further includes analyzing the telematic data and the set of predefined policies to obtain an analysis result. The method further includes sharing the analysis result with the vehicle in an encrypted format. The method further includes partially decrypting the analysis result to obtain a partially decrypted result. The method further includes sharing the partially decrypted result to the insurance provider. The method further includes decrypting the partially decrypted result to obtain fully decrypted result in a plain-text format.

Abstract: The present disclosure relates to a system(s) and method(s) for generating a predictive model, the method comprises receiving data and extracting one or more predicator features from the data based on a feature selection methodology. In one example, the feature selection methodology comprises computing a degree connectedness for each of the plurality of features using a modified mutual information technique and a Pearson co-efficient and identifying the one or more predicator features on a comparison of degree of connectedness and a predefined threshold. Further, the method comprises identifying a data type associated with the data, and generating a predictive model to be applied on the data based on the data type and the one or more predicator features.

Abstract: A system and method for instance segmentation of densely packed objects is disclosed. The method includes receiving an input image, enhancing the input image to generate an enhanced input image, inputting the enhanced input image to a trained mask R-CNN model to generate a first segmentation map, iteratively predicting one or more missing instances of densely packed objects from the input image based on comparison of a contour map generated for the input image with a contour map generated for the first segmentation map, comparing an area of the one or more missing instances with a predefined threshold value, applying the trained masked R-CNN model on each of the one or more missing instances to generate a second segmentation map, and obtaining a refined segmentation map based on the first segmentation map and the second segmentation map.

Abstract: A method and system for validating promotional emails and product availability from E-commerce websites is disclosed. In one embodiment, the method includes retrieving a first set of images corresponding to an image strip and a second set of images corresponding to a promotional email from a database. The first set of images and the second set of images may be associated with one or more products. The method further includes calculating a similarity score between each of the first set of images and each of the second set of images using a first Computer Vision (CV) technique. The method further includes selecting one or more valid images from the second set of images based on the similarity score. The method further includes determining a stock availability status of at least one product presented in the one or more valid images from at least one website using a deep learning algorithm.

Abstract: The present disclosure relates to a system and a method for processing distributed data files. The processor executes instructions to receive a set of instructions from a primary device, wherein the set of instructions comprises verification rules, validators, primary transformers and structure query transformers; generate processed data files by processing the distributed data files. The distributed data files are processed by performing at least one of: executing one of the verification rules, the validators and the primary transformers on the distributed data files; and transforming the distributed data files by executing the structure query transformers. The execution of the structured query transformers comprises steps of generating a dependency graph based upon dependencies between the structure query transformers; and determining a sequence of execution of the structured query transformers based upon the dependency graph; and transfer the processed data files to a data warehouse.

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: Network slicing is a feature and architecture in a 5G Standalone (SA) network. Permitting a device to request a network slice that has not already been pre-configured into the device will allow for the utilization of network slices that may have more suitable characteristics based on the particular needs of the device. Systems and methods are provided for on demand 5G slicing that allow a device to interact with the 5G network to request a particular slice based on characteristics, such as speed, latency, and reliability, in order to fulfill the particular needs of the device and obtain the best user experience. In some examples, an Entitlement Configuration Server (ECS) is used as the point of communication between a device and the 5G network.

Abstract: A food processing device configured to process a food product stored in a pod is disclosed. The food processing device may further include a drive assembly. The drive assembly may include a drive motor configured to move linearly in the vertical direction, and a linear actuator coupled to the drive motor. The linear actuator may cause the drive motor to move linearly in the vertical direction. The drive assembly may further include a drive shaft coupled to the drive motor. The drive shaft may be configured to engage or disengage with the top shaft of the pod owing to the linear movement of the drive motor in vertical direction. Upon engaging with the tops shaft of the pod, the drive shaft may be further configured to impart rotary motion to the top shaft.

Abstract: A method and system for integrating Field Programmable Analog Array (FPAA) with Artificial Intelligence (AI) is disclosed. In some embodiments, the method includes automatically creating, by an AI model, a function by auto connecting a first set of computation elements from a plurality of computational elements in an FPAA, in response to receiving an input. The method further includes receiving a feedback comprising a first accuracy level associated with the output. The method further includes automatically adjusting at least one of a plurality of control parameters to modify the function to generate an adjusted output corresponding to the input, based on the first accuracy level associated with the output.

Abstract: A method for automatically generating codes to operate Machine Learning (ML) models disclosed. In some embodiments, the method includes operating, for each of a plurality of stages associated with ML model operations, at least one ML model. To operate each of the at least one ML model, the method may include selecting, for each of the at least one ML model at each of the plurality of stages, a predefined technique associated with a current stage; generating, for each of the at least one ML model at each of the plurality of stages, a code based on the selected predefined technique; generating, for each of the at least one ML model at each of the plurality of stages, a dependency configuration and an environment configuration for the generated code; and generating, for each of the at least one ML model, a pipeline configuration for execution of associated codes.

Abstract: A method for guiding a user to desired locations within an environment is disclosed. In some embodiments, the method includes receiving data corresponding to the environment from a machine-readable mark in response to scanning the machine-readable mark. The data corresponding to the environment includes geographical information associated with the environment. The method further includes receiving a user input for a desired location within the environment. The method further includes iteratively determining a current location of a user within the environment in response to receiving the user input and extracting spatial data of the desired location within the environment from the geographical information. The method further includes dynamically and iteratively generating a mixed reality route to the desired location overlaid over the environment.

Abstract: The invention relates to a liquid storage device. The liquid storage device includes bottom section including container for storing liquid. The liquid storage device further includes middle section coupled to bottom section. The middle section includes stabilizing element for balancing liquid storage device and set of detachable handles for holding liquid storage device. It should be noted that a handle of set of the detachable handles is attached to stabilizing element for preventing liquid storage device from tremoring. The liquid storage device includes top section coupled to bottom section through middle section for receiving liquid from bottom section through pumping mechanism. The top section includes set of detachable attachments. One attachment of set of detachable attachments includes detachable cup for collecting liquid received from bottom section.