Abstract: Embodiments of present disclosure relates to robust and efficient, method and system for managing event engaged by participants in real-time. Initially, input data is received through multiple inputs modes. The input data includes text, audio, image, video, and gesture, associated with event and participants. Further, each participant is profiled, during event. Profiling is based on input data and pre-stored event data associated with event. Behavioural attributes of each participant is indexed based on input data, pre-stored event data and profiling of corresponding participant. Alerts are generated to provide to at least one participant, during event. The alerts are generated based on profiling and indexing of corresponding participant, input data and pre-stored event data. Upon end of event, event data is determined for event and participants, based on profiling, and indexing of participants. By this, event is managed efficiently and dynamically, with real-time alerts and recommendations.

Abstract: A method and a system are described for multi-modal input based platform for intent based product recommendations. The method comprises receiving, by the product recommendation device, one or more multi-modal user inputs associated with a first product, wherein the one or more multi-modal user inputs are at least speech, text, bodily expressions and clickstream data. It further includes determining an intent-score for each of the one or more multi-modal user inputs using one or more trained data models. It further includes computing an emotion-score by aggregating the intent-score for each of the one or more multi-modal user inputs based on a weighted average of the intent-score for each of the one or more multi-modal user inputs and the method then includes recommending one or more second products based on the emotion-score.