Abstract: A system and method for developing unified digital platform based virtual power banks is provided. A second data type is derived by analyzing record types. The record types are obtained from the first data type received from multiple sources. Virtual power banks are generated by employing the first and second data types fetched from database. Dynamic actionable items relating to the virtual power banks are generated from the first data type and the second data type. One or more variables are identified that correspond to different types of dynamic actionable items for categorizing the dynamic actionable items based on the identified variables. Lastly, optimization operations are performed on values of each of the identified variables to obtain an optimized final weightage value of the virtual power banks, accessed via a unified digital platform, based on which one or more operational parameters associated with the virtual power banks are determined.

Abstract: A system and a method for managing cloud deployment configuration files and container base images for applications is provided. One or more application source code associated with configuration files and container images of applications are analyzed based on one or more pre-defined rule sets for determining cloud platform best-practice violations associated with the application source code. Further, impact on the application source code due to cloud platform changes is identified based on one or more search sets. Further, one or more remediation actions are executed for rectifying the determined cloud platform best-practice violations associated with the impacted application source code based on one or more remediation types. Base images of the container images are validated to be secure and without vulnerabilities. Lastly, a test run is triggered to determine that the remediation actions have not removed functionalities associated with the application source code.

Abstract: A transmitter device for a secure communication based on quantum cryptography, the transmitter device comprises a transmitter optical communication module for transmitting light pulses from the transmitter device to a receiver device, and the transmitter optical communication module enables exchange of a quantum key between the transmitter device and the receiver device. The transmitter device comprises transmitter data communication module for exchanging data between the transmitter device and the receiver device, the data is encrypted by the quantum key thereby ensuring a secure communication between the transmitter device and the receiver device. The transmitter device further contains a status display on a front side of the transmitter device for displaying status of the secure communication between the transmitter device and the receiver device.

Abstract: A system 10 to optimize a light emitting diode (LED) power allocation framework within a room is disclosed. The system 10 includes a data receiving subsystem 20, configured to receive parameters corresponding to light emitting diodes (LED), visible light communication (VLC) transmitters and visible light communication (VLC) receivers. The system 10 includes a blockage generalization subsystem 22, configured to identify location and height of one or more detected blockages within the room from the received parameters. The system 10 includes an optimal power allocation subsystem 24, configured to compute a visible light communication (VLC) channel gain for each of the one or more light emitting diodes (LED) with reference to identified location and identified height and configured to optimize the power allocation framework to achieve maximized visible light communication (VLC) data rate based on the computed visible light communication (VLC) channel gain and one or more constraints.

Abstract: A system and method for generating a modernization sequence for application modernization is provided. The present invention provides for generating a database of hierarchies between a plurality of technology stacks based on analysis of historic modernization data and user inputs. Further, the present invention provides for evaluating in real-time an optimal sequence for implementing modernization of two or more technologies associated with the application based on the database. A hierarchy between each of the technology stacks corresponding to the two or more technologies is derived based on the database, and the technology stacks are arranged in a chronological order based on the derived hierarchy. The modernization sequence of the two or more technologies is same as the chronological order of their corresponding technology stacks.

Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. First and second transformation recommendation paths are received and remediation tem plates based on the same are applied. A pre-defined transformation process flow is applied on application source code based on first and second transformation recommendation paths including a pre-processing stage involving analysis of source code and target framework. A plugin unit is provided which provides an adaptable plugin framework for creating multiple plugin types. The adaptable plugin framework allows addition of semi-automated workflow that applies functionality to accelerate application development or application to cloud transformation or addition of semi-automated steps to accelerate greenfield application development and application source code transformation to cloud native code.

Abstract: The present invention provides for building a knowledgebase of dependencies between Configuration Items(CIs) associated with IT computing environment. In operation, the present invention provides for mapping a plurality of Configuration Items(CI) with respective one or more actions. The present invention further provides for tracking and capturing of one or more actions performed on one or more CIs in relation to resolving an activity related to a reported CI. Further, the present invention provides for identifying dependencies between one or more CIs and the reported CI based on the captured one or more actions. Furthermore, the present invention provides for building a knowledgebase of dependencies between CIs of the computing environment based on the identified dependencies between one or more CIs and the reported CI. Yet further, the present invention provides for generating visual representations of dependencies between CIs.

Abstract: The present invention provides for a system and a method for optimized data extraction of different document types. First digitised data is extracted from ingested documents based on extraction rules and is classified into first classified data based on pre-defined rules. Confidence score is assigned to first classified data based on comparison of first classified data with pre-defined data. A second digitised data is extracted from classified document types corresponding to first classified data via a tool selected from multiple integrated tools based on extraction rules. An extraction score is determined for second digitised data. Classified document types are validated based on pre-defined requirements. In the event the pre-determined requirements are met the confidence score and the extraction score are compared with pre-defined parameters. If the result is above a pre-determined threshold the second digitized data is transmitted as executable files to applications for execution.

Abstract: The present invention relates to a system and method for assessing performance of a software release in a production environment. The attempt is to measure impact of delivered features and correlate with cost incurred in building those features to calculate a return on investment made. The disclosure, thus, provides for fetching relevant details from plurality of tools or data sources, correlating the fetched information and linking it with milestone data. This milestone data is labeled with a milestone id to enable querying of data sources and determine impact delivered. The determined impact is linked with calculated cost identifier to finally assess the release performance.

Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. A first and a second transformation recommendation path is received and a set of remediation templates are applied based on the first and the second transformation recommendation paths where the set of remediation steps comprises pre-defined parameterized actions. The system comprises a microservices unit configured to optimize assessment and implementation of microservices code for multiple target cloud platforms by determining count of microservices anti-patterns in microservices code, wherein the anti-patterns represent a pattern of the microservices code and ascertaining current state of the microservices code by determining a maturity score. A set of repeatable steps associated with microservices code development are provided in bundled form for accelerated implementation of changes in the microservices code for deployment on the multiple target cloud platforms.

Abstract: The present invention provides for improving training dataset by identifying errors in training dataset and generating improvement recommendations. In operation, the present invention provides for identifying and correcting duplicate utterances in training dataset comprising utterances-intent pairs. Further, a plurality of Natural Language ML models are trained with the corrected training dataset to obtain diverse set of trained ML models. Each utterance of training dataset are fed as input to trained ML models, and a probability of error associated with each utterances-intent pairs of training dataset are evaluated based on analysis of respective intent predictions received from each of the trained ML models. Furthermore, spelling errors in the dataset are identified and data-imbalances in the training dataset are evaluated.

Abstract: A system and a method for automated data screening for background verification is provided. The invention provides for analyzing a first input file and a second input file. Data enrichment operation is performed on first input file and second input file based on captured client and CPs data from URLs which are extracted from open media sources or from data sources that organization has subscribed to obtain an enriched first input file and second input file. Matching operation is performed between enriched first input file and second input file. Adverse data is determined associated with clients and CPs data determined as true match and potential match in first input file and second input file. Further, extracted adverse data is cleaned and filtered to generate screened data associated with clients and the CPs data and generating output folder comprising output file including screened client and CPs and hit data.

Abstract: The present invention provides for fabricating virtual networks and allocating request-notifications therein for providing support-services securely and efficiently. In operation, a virtual network is fabricated based on network-registration requests received from plurality of computing devices. Further, a primary data structure representative of registered computing devices categorized into devices offering services and requiring services is generated based on information embedded in network-registration requests. Furthermore, a secondary data structure is generated by sub-categorising categorised computing devices based on information embedded in network-registration requests. Yet further, request-notifications for completing incoming support-requests from registered computing devices requiring services are generated.

Abstract: The present invention provides for migration of application running on source cloud platform to target cloud platform. In operation, the present invention provides for retrieving analysis-data including source code of application to be migrated, hereinafter referred to as application M, a runtime data of application M, and target cloud platform data. The present invention further provides for identifying migration parameters based on analysis-data. Further, migration readiness of application M to target cloud platform is assessed based on migration parameters. Furthermore, a migration readiness report is generated based on the migration parameters, migration readiness assessment and the runtime data. Yet further, deployment configurations for the application M are generated as per the target cloud platform based on the migration readiness report.

Abstract: The present invention relates to a system and method for application debt management with zero maintenance strategy that make the applications “fit for use” and “fit for purpose”. The objective is to ensure that applications run at the lowest cost, deliver maximum performance and serve the purpose for which it was developed. The machine learning enabled debt engine of present system reads the unstructured ticket data or debts, eliminates noise, and classify the debts into one of predefined categories. This is followed by remediation of debt via either of automation or healing workbench based on predetermined priorities.

Abstract: A system and a method for providing data computation using quantum computing is disclosed. In particular, the present invention enables client computing devices to readily access quantum computers and perform complex computational tasks using quantum computing. In operation, a computational problem is defined based on one or more inputs received from the client device. The one or more inputs include an objective, and one or more parameters associated with the objective. Further, a category associated with the computational problem is identified. Furthermore, one or more predefined machine learning codes are determined based on the identified category of the computational problem. Finally, the computational problem is encoded into a format interpretable by the quantum computers, and processed by the quantum computers based on the selected one or more machine learning codes to obtain an optimal solution to the computational problem.

Abstract: A system and a method for securing and authenticating serialized data associated with a product across a supply chain is disclosed. In operation, the present invention provides for generating a Hash ID by associating serialised data and serialisation ID of the product with a blockchain platform. Further, a set of authentication rules are generated for validating access to the serialised data based on the Hash ID. Furthermore, a plurality of identifier elements are generated for integration with one or more levels of product packaging. Yet further, access to the serialized data across the supply chain is authorized on determination of the authenticity of the supply chain participants based on the identifier elements using a decryption technique and the set of authentication rules. A result representative of authentication success or failure is stored in the blockchain platform.

Abstract: The present invention discloses a system and a method for detecting anomalous patterns in a network such as a LAN, WAN, MAN, internet of things (Iot), cloud networks, or any other network. In operation, the system and method of the present invention determines a generic pattern of behavior associated with a plurality of anomaly classes based on a plurality of feature values using reinforcement learning technique. The generic pattern is fixed as a boundary for each of the plurality of anomaly classes and is representative of behavior which substantially simulates the network behavior on attack by any of the plurality of anomaly classes. Further, the present invention, provides for updating the generic pattern using reinforcement learning. The updated generic pattern is implemented to analyze and detect anomalous behavior in the incoming network traffic in real time.

Abstract: A system and method for optimized generation of a single page application for multi-page applications is provided. A shell application is fetched for hosting a user interface (UI) associated with one or more child applications. The shell application is associated with multiple pre-defined frames. The shell application maintains a bi-directional communication with the child application until the UI associated with the child application remains hosted in the shell application. Further, UI extensions associated with the UI of the child applications are fetched. The UI extensions are in the form of one or more pre-defined UI visualization formats. Each of the fetched UI extensions are discrete UI extensions functioning independently of the other. Lastly, the UI extensions are deployed in the pre-defined frames associated with the shell application to generate a single page application.

Abstract: A system for monitoring one or more lab processes and predicting their outcomes is provided. The system comprises a data acquisition module configured to acquire at least one of: ambient data and experimental data in real time from one or more lab resources and instruments. The system further comprises a process setup and monitoring module configured to receive the acquired data and facilitate setting-up and monitoring of one or more processes in real time utilizing the received data. The system furthermore comprises an experiment prediction module that is configured to obtain data from the data acquisition module and process setup and monitoring module. The experiment prediction module is further configured to employ one or more machine learning techniques on the obtained data to generate one or more patterns to predict outcomes of the one or more processes conducted in the lab in real time.