Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for automatic switching between visual responses, audio responses and textual responses in an omni-channel single view experience. Particularly, the system and method may empower a user to choose between any mode of interaction, the modes being provision of a visual interaction, audio interaction or a textual based interaction and a combination thereof based on a machine learning architecture and also provide seamless human agent handover. Thus, the system and method of the present disclosure may be beneficial for both entities and users.

Abstract: Present disclosure generally relates to remote visualization using graphics, particularly relates to methods and systems for dynamically creating Scalable Vector Graphics (SVG) in video conferencing. The system creates SVG dynamically based on user’s input in whiteboard application in video conferencing solution and then pass the SVG information to other client devices using websocket technology which can then create similar SVG in client devices. The user can collaborate in video meeting. This helps in simulating the exact use case of whiteboard in conference room. The system allows to draw and share ideas in video meeting to other participants.

Abstract: The present disclosure provides a system and method for utilizing an application programming interface (API) for handling multiple requests/models from various users. The API uses a machine learning (ML) model for processing the various requests and producing a plurality of trained models. The system is resilient to a race condition and incorporates an optimized random access memory (RAM) usage. Further, the system efficiently manages the limited available resources by loading and unloading the machine learning models based on their usage, thus maximizing the throughput of the API.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for swapping one or more faces without any explicit training on the one or more faces. The proposed method can be further implemented in real time.

Abstract: The present disclosure provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for increasing relevance and conversion rate of one or more contents. Further, the system delivers to a plurality of users based on user-specific information feed such as location, data usage pattern, recent searches, duration, activities, and the like. The plurality of contents may include mobile phones, tablets, television, Internet, and the like. The system provides for a personalized, customized, and easy to create one or more contents on a plurality of digital platforms devices used by plurality of users. The users include local shop vendors, dealers, and brands to get their product or shop advertised to the potential target audience and increase the reach and conversion rate of the advertisement.

Abstract: The present disclosure provides system and method for object detection in a discontinuous space. The system receives at least one captured image from one or more computing devices associated with one or more users. The at least one captured image comprises one or more objects in the discontinuous space, and the one or more objects are associated with at least one attribute. The system computes a score corresponding to each of at least one attribute of the one or more objects. The system detects the one or more objects in the discontinuous space based on the computed score. Further, the system determines a similarity grade for the one or more detected objects, where the similarity grade corresponds to an accuracy of inference for the one or more detected objects. Finally, the system updates a database based on the accuracy of inference to facilitate object detection in the discontinuous space.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for that links together a wide variety of media processing systems to complete complex workflows. The system can be configured to read files in one format, process the files, and export the files in another. The system can be a cross-platform and can be easily ported to various operating systems and can be used to integrate privacy preserving components into the system.

Abstract: The present disclosure relates to a system and method for facilitating error-free communication of data by enabling transfer of data over audio signal in near-ultra sonic frequencies with specially designed audio emitted using a mixture of frequencies to achieve maximum stability. The method may include randomized emission of data bits over a plurality of frequency ranges to allow temporal and frequency voting. The audio signal transmitted may be received by pre-processing the received audio signal to remove unused frequency bands and unwanted audio artifacts introduced during transmission. The pre-processed audio signal may be further applied with a plurality of audio processing levels to denoise, smoothen the audio signal by going through noise subtraction using unique noise profiles and spectrally gate using curated thresholds. The audio signal may be then demodulated using a unique confidence score based on the power of all the frequencies emitted to find the data transmitted.

Abstract: Present disclosure relates to system and method for converting RTMP stream into HLS format for live stream. The solution architecture can include three main components: a Publisher (106), a Streamer (108) and an API server (112). The publisher (106) manages incoming RTMP streams and converts RTMP stream into multiple (resolutions) HLS streams with an adaptive bit rate. The streamer (108) manages end users consuming HLS feed. As publisher (106) can be busy doing transcoding, the streamer (108) can serve HLS format to an end user. At streamer level, caching is done instead of sending all requests to publisher. The API server (112) manages load on the publishers and the streamers, and makes sure that the servers are available all the time. Live stream API server keeps record of the streams which are available as well as the corresponding publishers having the streams.

Abstract: The present disclosure relates to a system and method for generating an executable multi-faceted specific to an entity. In an exemplary implementation, the proposed system receives a knowledgebase comprising a set of potential queries associated with the entity, and receives responses that can be switched to a video form, an audio form or a textual form corresponding to the potential queries based on any or a combination of user preference, network conditions and user device features. The system processes, through a machine learning model, training data comprising the set of potential queries, the video frame responses, and the intent mapped to each potential query to generate a trained model, based on which a prediction engine is configured to process an end-user query and predict an intent associated with the end-user query, and facilitate response to the end-user query based on video frame response that is mapped with the predicted intent.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling a plurality of set top boxes (STBs) to be used as seeders for peer to peer network distribution of data. The plurality of STBs may be used to utilize the Internet for downloading content of the network along with streaming of the content. After downloading the content by the STB by following a predefined set of instructions, the STB may provide the downloaded content to the network. After a predefined time, the STB would not be able to transfer data via internet because a sever coupled to the STB may automatically stop accepting incoming connections to download from other STBs associated with the network.

Abstract: The present disclosure provides a system and method for generating automatic video frame responses without getting help from an expert/professional assistance as well as ability to customize responses for a set of survey queries. The system includes a processor that executes a set of executable instructions stored in a memory, upon execution of which, the processor causes the system to receive video frame responses that are mapped to each survey query of the set of survey queries. The set of survey queries may be any or a combination of open ended, ratings related, satisfaction related, choice related queries but not limited to these. The system may be configured to link the set of queries to the video frame responses that have been recorded and also facilitate the user to initiate the survey at his/her convenience and resume the survey if there may be a break in the survey.

Abstract: The present disclosure relates to a system and method for enabling authentication on the bot application. The system may receive video stream along with query from a user computing device associated with a user. The query may be a generic or a privileged query and based on the nature of query, identification and verification of the user is carried out. For privileged services, the authentication procedure may include many levels of authentication processes that may include biometric authentication modules as well. Once the user is verified and authenticated, the response for the user query is provided to the user.

Abstract: The present invention relates to a system and a method for enabling automatic conversion of speech input to text. The implementation involves receiving an audio file pertaining to speech of a user, extracting a first set of attributes indicative of plurality of time frames spaced along the duration of the audio file, extracting a second set of attributes indicative of speech patterns, predicting a first set of characters to generate a first output sentence, determining, through an AI engine, a first data set comprising a corpus of sentences of a predefined language based on a predefined language usage parameters and generating a textual output in the predefined language based on a combination of said extraction, said prediction and said AI engine based determination.

Abstract: The present disclosure relates to a system and method for generating an executable bot application specific to an entity. In an exemplary implementation, the proposed system receives a knowledgebase comprising a set of potential queries associated with the entity, and receives video frame responses corresponding to the potential queries, wherein each potential query is mapped to an intent. The system processes, through a machine learning model, training data comprising the set of potential queries, the video frame responses, and the intent mapped to each potential query to generate a trained model, based on which a prediction engine is configured to process an end-user query and predict an intent associated with the end-user query, and facilitate response to the end-user query based on video frame response that is mapped with the predicted intent. Using the prediction engine, the proposed system auto-generates executable bot application by the entity.

Abstract: A system and method for user activity and preference analysis in a multi-user, multi-location digital environment that analyzes each user's state at each location where the user is present. If the user is present at multiple locations, the system and method also identify users that have mixed states, i.e., active at one or more locations and inactive at one or more second locations. If a user does not have a system-acceptable exception for its inactive state, the system and method may take action with respect to the user, which action may include warning the user or removing the user from the location.

Abstract: A system and method for user activity and preference analysis in a multi-user, multi-location digital environment that analyzes each user's state at each location where the user is present. If the user is present at multiple locations, the system and method also identify users that have mixed states, i.e., active at one or more locations and inactive at one or more second locations. If a user does not have a system-acceptable exception for its inactive state, the system and method may take action with respect to the user, which action may include warning the user or removing the user from the location.

Abstract: A method and system for are provided for optimizing and distributing data processing and resources in a multi-user, multi-location digital environment. User activity and user states are compiled and analyzed for each location where the user is present. User event processing may include distributing event data to one or more user state processors, choosing the optimum target processor, and filtering user event data to eliminate duplicate or unnecessary transmissions between processors that are hosted on one or more servers. Process intensive tasks, such as analyzing and transmitting user events, generated by user activity and user state changes, may be implemented using threads in an asynchronous processing environment, wherein the processors are horizontally scalable.

Abstract: The information related to a journal entry is gathered in a predefined format and a journal entry request is generated. The journal entry request is processed and the journal entry is recorded in a journal. Each individual associated with the journal entry request is automatically notified about any change in status of the journal entry request.