Abstract: A method and a system are described for assisting an adviser during user evaluation using a medical data processing system. The method includes classifying a medical record of a user into a plurality of data-segments based on a plurality of data layers. The method includes tagging the plurality of data-segments with associated data-segment parameters where the associated data-segment parameters indicates a context of each of the plurality of data segments. The method further includes determining one or more data-segments of the plurality of data-segments, in response to a conversation, wherein the one or more data-segments are determine based on a comparison of the context of each of the plurality of data segments with a context of the conversation. Further, the method includes rendering the determined one or more data-segments to the adviser based on the comparison.

Abstract: A technique is provided for controlling an object avatar. The technique includes receiving one or more utterance from one or more user. Further, one or more object avatar is determined from object avatar database based on context. Based on one or more utterances, one or more parameters is extracted to control the object avatar. Further, one or more outcome is determine based on the one or more parameters extracted. Subsequently, the object avatar is controlled when the one or more outcomes correspond to a one or more permissible outcomes.

Abstract: The present disclosure discloses method and a critical event managing system for managing time-critical events associated with critical devices. The critical event managing system identifies time-critical events from plurality of events based on predetermined factors related to the plurality of events. The plurality of events is determined from first procedural sequences identified from procedural narration by a practitioner and stored protocol manual. At least one of missed and incorrect events are determined based on comparison between reference and observed values associated with critical devices. A revised execution plan is provided iteratively based on historical data, data provided by practitioner, first procedural sequences, and metadata associated with plurality of parameters.

Abstract: Disclosed herein is a method and system for providing personalized content to a user. The method comprises categorizing original content to be provided to user into a plurality of data packets. The data packets include data of similar domain. The user is categorized into one of plurality of classes and a vocabulary of words suitable for the class is identified. The class is associated with a domain. The system identifies relevant content for the class. Thereafter, the system modifies the original content by either by inserting a new data packet or deleting a data packet. A target content is generated for the class based on vocabulary of words associated with class and modified original content. Thereafter, the target content is provided to the class by incorporating one or more features of a presenter for presenting the target content. The present disclosure enhances user experience by personalizing content for the user.

Abstract: This disclosure relates generally to drones, and more particularly to method and system for performing inspection and maintenance tasks of three-dimensional structures (3D) using drones. In one embodiment, a method for performing a task with respect to a 3D structure is disclosed. The method includes receiving a simulated 3D view of the 3D structure. The simulated 3D view comprises a hierarchy of augmented views to different degrees. The method further includes configuring one or more paths for performing a task on the 3D structure based on the hierarchy of augmented views, historical data on substantially similar tasks, and a capability of the at least one drone. The method further includes learning maneuverability and operations with respect to the one or more paths and the task based on the historical data on substantially similar tasks, and effecting performance of the task based on the learning through the at least one drone.

Abstract: Disclosed herein is a method and an information updating system for dynamically updating a product manual. In an embodiment, information related to product are received and analyzed to identify issues in handling the product. Thereafter, resolution information required for resolving the identified issues is extracted and compared with existing resolution information in the product manual to identify a missing portion of the product manual. Subsequently, the product manual is updated with the missing portion based on a logical resolution graph of the product manual. In an embodiment, the present disclosure helps in building comprehensive and reliable product manuals, thereby enhancing usability of the products.

Abstract: This disclosure relates to method, device, Wand system for clustering document objects based on information content. The method may include identifying a plurality of object chunks from at least one document based on semantic context of each of the plurality of object chunks, determining at least one document portion from the at least one document as a base document based on a plurality of parameters applied to the plurality of object chunks, determining a plurality of hierarchies within the base document, and categorizing the plurality of object chunks based on the plurality of hierarchies and information in each of the plurality of object chunks. It should be noted that each of the plurality of object chunks may include at least one object selected from the at least one document.

Abstract: The present disclosure relates to a method and system for obtaining interactive user feedback in real-time by feedback obtaining system. The feedback obtaining system establishes connection between user device of user and server of service provider based on user location received from user device, receives static data of user from server and dynamic data of user from capturing device located at site of service provider, identify contextual information associated with user based on static data and dynamic data, provide one or more feedback queries for user from database based on contextual information, provide one or more sub-feedback queries for user based on response of user for one or more feedback queries and obtains user feedback based on response of user for one or more sub-feedback queries and one or more feedback queries and implicit feedback. The use of implicit feedback together with actual feedback gives effective feedback of users.

Abstract: A camera for generating distortion free images and a method thereof is disclosed. The camera includes a plurality of lenses, wherein each of the plurality of lenses has a dedicated sensor. The camera further includes a processor communicatively coupled to the plurality of lenses. The camera further includes a memory communicatively coupled to the processor and having instructions stored thereon, causing the processor, on execution to capture a plurality of images through the plurality of lenses and to generate a single distortion free image from the plurality of images based on a deep learning technique trained using a mapping of each of a plurality of sets of low resolution images generated in one or more environments to an associated distortion free image, wherein one or more low resolution images in each of the plurality of sets are distorted.

Abstract: A method and system for domain-based rendering of avatars to a user is disclosed. The method includes receiving, by a controller unit of a user device, a user input subsequent to launch of an application in the user device. The method further includes extracting a plurality of keywords and metadata from the user input. The method includes determining an application domain in association with the user input based on the plurality of keywords and the metadata. The method further includes selecting at least one avatar from an avatar database based on the application domain and a plurality of parameters. The method includes rendering the at least one avatar to the user to initiate a conversation.

Abstract: A method generating real-time interpretation of a video is disclosed. The method includes capturing, by a media capturing device, a region of attention of a user accessing the video from a screen associated with the media capturing device to determine an object of interest. The method also includes generating a text script from an audio associated with the video. The method further includes determining one or more subtitles from the text script based on the region of attention of the user. The method further includes generating a summarized content of the one or more subtitles based on a time lag between the video and the one or more subtitles. Moreover, the method includes rendering the summarized content in one or more formats to the user over the screen of the media capturing device.

Abstract: The present disclosure relates to a method and a system for generating optimized response to user input. The system may receive a user input indicative of a data required by the user. The system identifies one or more keywords based on the user input. The system determines user expertise level based on search graphs generated using the one or more keywords. The system retrieves a plurality of responses relevant to the data based on the one or more keywords. The system assigns a value to each of the plurality of responses based on the user expertise level. The system identifies a base response in one or more responses having the value greater than a threshold value. Finally, the system collates content of the one or more responses excluding the base response with content of the base response, in a pre-defined sequential order, for generating the optimized response to user input.

Abstract: The present disclosure discloses method and guidance providing system for providing real-time guidance to users during troubleshooting of devices. The guidance providing system receives user input indicating troubleshooting actions on device, by user, where user input comprises textual input and non-textual input, identifies object in device associated with troubleshooting actions and state of user while performing troubleshooting actions, from non-textual input. The object identified from non-textual input is mapped with textual input to obtain mapped user input. Consistency of mapped user input is verified based on conversation information and domain specific content associated with device. Sequence of instructions corresponding to mapped user input, based on state of user and one or more similar troubleshooting actions, may be extracted from knowledge database.

Abstract: This disclosure relates generally to artificial intelligence system, and more particularly to method and system for tracing a learning source of an explainable artificial intelligence (AI) model. In one example, the method may include receiving a desired behavior of the explainable AI model with respect to input data, generating a learning graph based on similarities among a plurality of learning sources with respect to the input data for the desired behavior and for a current behavior, retracing a learning of the explainable AI model by iteratively comparing the learning graph for the desired behavior and for the current behavior at each of a plurality of layers of the explainable AI model starting from an outer layer, and detecting the learning source responsible for the current behavior based on the retracing.

Abstract: A method and system for providing dynamic conversation between an application and a user is discussed. The method includes utilizing a computing device to receive a requirement input from the user for the application. The method further includes determining a goal of the user based on the requirement input. Based on the goal, a plurality of conversation threads is initiated with the user, wherein each of the plurality of conversation threads has a degree of association with the goal. Thereafter, a plurality of slots is dynamically generated based on the goal and the plurality of conversation threads. A slot of the plurality of slots stores a data value corresponding to the requirement input of the user.

Abstract: A method and system are described for controlling an Internet of Things (IoT) device using multi-modal gesture commands. The method includes receiving one or more multi-modal gesture commands comprising at least one of one or more personalized gesture commands and one or more personalized voice commands of a user. The method includes detecting one or more multi-modal gesture commands using at least one of a gesture grammar database and a voice grammar database. The method includes determining one or more control parameters and IoT device status information associated with a plurality of IoT devices in response to the detection. The method includes identifying IoT device that user intends to control from plurality of IoT devices based on user requirement, IoT device status information, and line of sight information associated with user. The method includes controlling identified IoT device based on one or more control parameters and IoT device status information.

Abstract: Disclosed subject matter relates to digital media including a method and system for generating a contextual audio related to an image. An audio generating system may determine scene-theme and viewer theme of scene in the image. Further, audio files matching scene-objects and the contextual data may be retrieved in real-time and relevant audio files from audio files may be identified based on relationship between scene-theme, scene-objects, viewer theme, contextual data and metadata of audio files. A contribution weightage may be assigned to the relevant and substitute audio files based on contextual data and may be correlated based on contribution weightage, thereby generating the contextual audio related to the image. The present disclosure provides a feature wherein the contextual audio generated for an image may provide a holistic audio effect in accordance with context of the image, thus recreating the audio that might have been present when the image was captured.

Abstract: This disclosure relates generally to the text-to-speech synthesis and more particularly to a system and method for rendering textual messages using customized natural voice. In one embodiment, a system for rendering textual messages using customized natural voice, is disclosed, comprising a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to receive present textual messages and at least one of previous textual messages, response to the previous textual messages or receiver's context. The processor further predicts final emotional state of sender's customized natural voice based on an intermediate emotional state and the receiver's context. The processor further synthesizes the sender's customized natural voice based on the predicted final emotional state of the sender's customized natural voice, voice samples and voice parameters associated with the at least one sender.

Abstract: The present disclosure discloses a method and device for diagnosing problems in appliances. The device may receive a user input describing a problem related to an appliance. Further, the device extracts one or more objects from the user input for determining at least one effect of the problem and determines a problem domain based on the one or more objects. Further, the device retrieves a plurality of causes from the problem domain leading to the at least one effect. Furthermore, the device instructs user to perform at least one action and analyses user observations to determine an actual cause of the problem from the plurality of causes, for diagnosing the problem in appliances. The method and device of the present disclosure diagnoses problem in appliances by interacting with the user in real time.

Abstract: The present disclosure relates to method and system for determining intent of subject using behavioural pattern by intent determination system. The intent determination system receiving video data associated with subject from one or more information sources, extracting pre-defined number of femes before target frame from video data of subject, obtaining plurality of behavioural parameters of subject for each of extracted frames, determining score for plurality of behavioural parameters of extracted femes using trained intent model, calculating weighted average score for plurality of behavioural parameters of extracted frames based on score of each of behavioural parameters, analysing emotion of subject for pre-defined number of frames based on weighted average score and determining intent of subject based on emotion of subject analysed. The present disclosure removes the need of human intervention in determining intent of subject.