Abstract: Disclosed is a method and system for assessing the authenticity of a communication. The method comprises receiving data of the communication by the processor between one or more participants. Further, extracting one or more features by the processor from the data by using data extraction techniques. Further, comparing the one or more features by the processor with predefined threshold features stored in a feature repository. Further, generating, one or more authenticity attributes by using one or more trained Artificial Intelligence (AI) models applied over the one or more features, along with results of the comparing. Each of the one or more authenticity attributes generates a recommendation output, providing the authenticity of the communication.

Abstract: Disclosed is a method and system for assessing the authenticity of a communication. The method comprises receiving data of the communication by the processor between one or more participants. Further, extracting one or more features by the processor from the data by using data extraction techniques. Further, comparing the one or more features by the processor with predefined threshold features stored in a feature repository. Further, generating, one or more authenticity attributes by using one or more trained Artificial Intelligence (AI) models applied over the one or more features, along with results of the comparing. Each of the one or more authenticity attributes generates a recommendation output, providing the authenticity of the communication.

Abstract: The present disclosure relates to system(s) and method(s) to generate recommendations for traffic management. The system receives historical traffic data associated with each road segment in a target geographical location. Further, the system analyses the historical traffic data to forecast a traffic intensity corresponding to each road segment. The system compares the traffic intensity with a predefined threshold upper value to identify one or more congested road segments. The system further compares the traffic intensity with a predefined threshold lower value to identify one or more uncrowded road segments, when the threshold intensity is less than the predefined threshold upper value. The system identifies a target road segment, from the one or more uncrowded road segments, corresponding to each congested road segment using a routing algorithm. The system further generates one or more recommendations based on the target road segment for traffic management.

Abstract: Providing dynamic and personalized recommendations. Disclosed herein is a method and system for providing dynamic and personalized recommendations to a user, when the user is driving; wherein the recommendations are based on at least one of social data, predictive analytics, vehicle location and vehicle speed.