Abstract: A method and a system for predicting demand for a supply chain is disclosed. The method includes feeding input vectors to a trained Machine Learning (ML) model, for a future time-period. The input vectors include an intensity vector corresponding to an intensity of a possible disruption-event at each point of time within the future time-period and a duration vector corresponding to the duration of the possible disruption-event, and one or more extrinsic data vectors. The method further includes obtaining a demand for a target product in the future time-period from the trained ML model based on the input vectors.

Abstract: Disclosed herein is method and a system for predicting mutations in Ribonucleic acid (RNA) strains. In an embodiment, a similarity between a new viral RNA strain and reference RNA strains is determined. Further, a strain score for the new viral RNA strain is calculated based on the similarity between the new viral RNA strain and the reference RNA strains. Subsequently, mutation sites for the new viral RNA strain are identified by generating spatial nearness data corresponding to the reference RNA strains based on comparison between the strain score of the new viral RNA strain and the reference RNA strains. Finally, mutations of the new viral RNA strain are predicted by performing a generative modelling of a sequence of the new viral RNA strain with reference to the mutation sites of the new viral RNA strain.

Abstract: A system and method for selecting candidate drug compounds for a disorder through Artificial Intelligence (AI)-based drug repurposing is disclosed. The method includes extracting data including target protein-protein interaction complex corresponding to disorder from databases through Natural Language Processing (NLP) algorithm; generating semantic knowledge graph for disorder based on extracted data to identify a set of lead compounds; assigning initial rank to each of set of lead compounds based on historical clinical information and semantic knowledge graph, through predictive model; for each of set of lead compounds, determining binding affinity score through AI-based encoder-decoder model; determining molecular structure stability score based on interaction of molecular structures through deep learning model; and assigning final rank to each of set of lead compounds based on binding affinity score, molecular structure stability score, and intermediate clinical trial data.

Abstract: This disclosure relates to method and system for dynamically identifying change in customer behaviour and providing appropriate personalized recommendations. The method includes, for each of a plurality of transactions and for each of one or more customers, generating customer behaviour data based on customer transaction data and pre-defined product segmentation data; generating a state-action-reward pair based on customer transaction data and the pre-defined product segmentation data; and generating state-behaviour mapping data based on customer behaviour data and the state-action-reward pair.

Abstract: Disclosed herein is method and system for providing context based adaptive response to user interactions. A primary context of the user interactions is determined based on intents and associated named entities extracted from the user interactions. Further, secondary context of the user interactions is determined by detecting enquiry intent in user responses for queries provided for the primary context of the user interactions. Information related to primary and the secondary contexts are stored as Key Context Information (KCI) and is dynamically updated during the user interactions. Finally, context based adaptive responses are generated based on the updated KCI upon determining non-enquiry intent in subsequent user responses. The method of present disclosure maintains track of the user interactions and automatically detects changes in the context of the user interactions.

Abstract: Disclosed herein is method and system for providing context based adaptive response to user interactions. A primary context of the user interactions is determined based on intents and associated named entities extracted from the user interactions. Further, secondary context of the user interactions is determined by detecting enquiry intent in user responses for queries provided for the primary context of the user interactions. Information related to primary and the secondary contexts are stored as Key Context Information (KCI) and is dynamically updated during the user interactions. Finally, context based adaptive responses are generated based on the updated KCI upon determining non-enquiry intent in subsequent user responses. The method of present disclosure maintains track of the user interactions and automatically detects changes in the context of the user interactions.

Abstract: The present disclosure relates to a method for enhancing adaptability of an interactive surface environment having a plurality of objects. The method comprises receiving at least one user gesture performed on a target object from the plurality of objects. The further comprises identifying a context for each of the at least one user gesture performed on the target object based on at least one of the at least one user gesture, target object parameters, and object parameters. The method further comprises aggregating the at least one user gesture performed on the target object and the context to obtain a decision dataset. The method further comprises identifying an impact, to be rendered, by comparing the decision dataset with predefined datasets. The method further comprises rendering the impact on one or more objects from the plurality of objects in the interactive surface environment.

Abstract: The disclosure related generally to systems and methods for authenticating using air-blow by user. At least one input device receives one or more air-blows associated with one or more blow speeds. A pointer on a user interface is caused to move to at least one numeric character on at least one scale in response to each of the one or more blow speeds. The at least one numeric character is compared with a predetermined personal identification number (PIN) mapped to the at least one user. The user is granted access or access is denied based on the comparing.

Abstract: A method, non-transitory computer readable medium and apparatus that provides feedback to a user for interacting continuously without any disconnect. It gives real time visual clues and gestures based on application need. This solves the problem of a disconnected user found in current system and applications as user will be continuously aware whether and how much he is being tracked by the application that will allow him to continuously interact with the application. The requirements from various applications like FBT (Full body Tracking), HBT (Half Body Tracking), LTO (Leg Tracking Only), HTO (Hand Tracking Only), STO (Specific Tracking only) is sent to the CFBTE (Continuous Full Body Tracking Engine). The CFBTE process the requirements and generates the visual clues and gesture events. In visual clues the tracking level/intensity is continuously displayed, which will guide the user on system readiness and effectiveness for interaction.

Abstract: The present disclosure relates to a method for enhancing adaptability of an interactive surface environment having a plurality of objects. The method comprises receiving at least one user gesture performed on a target object from the plurality of objects. The further comprises identifying a context for each of the at least one user gesture performed on the target object based on at least one of the at least one user gesture, target object parameters, and object parameters. The method further comprises aggregating the at least one user gesture performed on the target object and the context to obtain a decision dataset. The method further comprises identifying an impact, to be rendered, by comparing the decision dataset with predefined datasets. The method further comprises rendering the impact on one or more objects from the plurality of objects in the interactive surface environment.

Abstract: The disclosure related generally to systems and methods for authenticating using air-blow by user. At least one input device receives one or more air-blows associated with one or more blow speeds. A pointer on a user interface is caused to move to at least one numeric character on at least one scale in response to each of the one or more blow speeds. The at least one numeric character is compared with a predetermined personal identification number (PIN) mapped to the at least one user. The user is granted access or access is denied based on the comparing.

Abstract: In one embodiment, a method of providing visual feedback to a user in a virtual reality environment is disclosed. The method may comprise: capturing position and depth information of the user using a depth sensor; determining a potential interaction point between the user and a 3D virtual object associated with the virtual reality environment based on the position and depth information of the user; determining, using a virtual depth camera, depth of the 3D virtual object at the potential interaction point; calculating a distance between the user and the 3D virtual object based on the position and depth information of the user and the depth of the 3D virtual object; and rendering a soft shadow of the user on the 3D virtual object based on the distance between the user and the 3D virtual object.

Abstract: The present subject matter relates to an image processing method and an image processing system for enabling financial transaction. The method comprises capturing an image of a financial instrument using an image capture device. The captured image is then processed to locate image of the financial instrument number and processed to obtain binary images of one or more characters of the financial instrument number. The system further recognizes each character of the financial instrument number from the binary images based on curvature information of each character and accuracy levels. The recognized characters are validated for a possible financial instrument number and then displayed to the user for confirmation. The user may enter at least one input character when the displayed characters is determined to be incorrect and the system updates a character repository with the correct financial instrument number and corresponding accuracy level.

Abstract: The present subject matter relates to a method and a guidance system for providing real time guidance to a novice user by an expert. The method comprises capturing images of a plurality of actions performed by the user and the expert based on which position and motion data associated with the actions are identified. Further, the method maps the complex environment of the novice user and position & motion data into corresponding digital representations to allow real time interaction between the novice user and the expert. During interaction, the guidance system monitors the performance of the novice user and dynamically suggests a list of alternate actions when the guidance system identifies a deviation in the actions performed by the novice user compared to the actions performed by the expert. If no deviations are identified, the guidance system implements the plurality of actions of the task in the real physical world.

Abstract: Systems and methods for capturing and analyzing documents to identify ideas in the documents are described herein. In one example, the method for capturing and analyzing documents to identify ideas in the documents comprises pre-processing the documents to remove noise, and extracting a theme associated with each of the documents, based on distribution of words and phrases in the documents. The method further comprises performing labelling of the documents by assigning a topic to each of the documents, based on pre-defined labelling rules and theme of the documents; and clustering the labelled documents into a plurality of groups based on similarity of the topics assigned to each of the documents.

Abstract: A method and device that enhances interaction efficiency of multi-user collaborative GUI. The method comprises displaying an object of interest on action area of the GUI, where the object of interest is common to plurality of users interacting with GUI. Thereafter, the one or more menu icons corresponding to one or more actions associated with object of interest are displayed. The one or more menu icons are rotatable in either clockwise or anti-clockwise directions. The method further comprises detecting selection of one or more menu icons where the selection of one or more menu icons causes processing unit to perform either: displaying one or more movable sub-menu icons corresponding to one or more actions associated with the object of interest; or executing one or more actions corresponding to the selected one or more menu icons on object of interest to obtain processed object.

Abstract: A method, non-transitory computer readable medium and apparatus that provides feedback to a user for interacting continuously without any disconnect. It gives real time visual clues and gestures based on application need. This solves the problem of a disconnected user found in current system and applications as user will be continuously aware whether and how much he is being tracked by the application that will allow him to continuously interact with the application. The requirements from various applications like FBT (Full body Tracking), HBT (Half Body Tracking), LTO (Leg Tracking Only), HTO (Hand Tracking Only), STO (Specific Tracking only) is sent to the CFBTE (Continuous Full Body Tracking Engine). The CFBTE process the requirements and generates the visual clues and gesture events. In visual clues the tracking level/intensity is continuously displayed, which will guide the user on system readiness and effectiveness for interaction.