Abstract: The present disclosure discloses methods and systems for enhancing shopping experience in physical stores. The method includes receiving at least one persona associated with a user based on one or more of: ethnographic data obtained from a user, demographic data associated with the user, buying behavioral data associated with the user, and social networking data associated with the user. After this, one or more historical activities of the user inside one or more physical stores are received. Also, one or more constraints associated with the user are received. Once received, the at least one persona, the one or more constraints, and the one or more historical activities are analyzed to generate a pre-defined number of personalized recommendations. Finally, the personalized recommendations are displayed to the user within a window of a user interface.

Abstract: The disclosed embodiments illustrate method and system for auto-generation of the sketch notes-based visual summary of the multimedia content. The method includes determining one or more segments, based on one or more transitions in the multimedia content. The method further includes generating a transcript based on audio content associated with each determined segment. The method further includes retrieving a set of images from an image repository based on each of the identified one or more keywords. The method further includes generating a sketch image of each of one or more of the retrieved set of images associated with each of the identified one or more keywords. The method further includes rendering the sketch notes-based visual summary of the multimedia content, generated based on at least generated one or more sketch images, on a user interface displayed on a display screen of the user-computing device.

Abstract: The present disclosure discloses methods and systems for enhancing shopping experience in physical stores. The method includes receiving at least one persona associated with a user based on one or more of: ethnographic data obtained from a user, demographic data associated with the user, buying behavioral data associated with the user, and social networking data associated with the user. After this, one or more historical activities of the user inside one or more physical stores are received. Also, one or more constraints associated with the user are received. Once received, the at least one persona, the one or more constraints, and the one or more historical activities are analyzed to generate a pre-defined number of personalized recommendations. Finally, the personalized recommendations are displayed to the user within a window of a user interface.

Abstract: The disclosed embodiments illustrate methods and systems to recommend medical intervention activities for caregivers and/or human subjects. The method comprises receipt of medical data of a human subject and contextual data of a plurality of caregivers of the human subjects. The medical data includes periodic physiological data of the human subject received in real-time. A customized ontology is generated, from a pre-determined ontology related to a medical condition, based on the received medical data and the contextual data. Thereafter, a recommendation of medical intervention activities is generated for at least one of the plurality of caregivers and/or the human subject, based on analysis of the generated customized ontology, caregiver profiles, the received contextual data, and the periodic physiological data. The generated recommendation is transmitted to computing devices of the at least one caregiver and/or the human subject.