Abstract: This disclosure relates generally to identifying predictable fields in an application for machine learning (ML). With the availability of several choices for machine learning techniques, it is difficult to choose the most effective option on a specific application. In addition, the functionality/usage of fields within an application may vary across applications subject to the application's domain. Hence ML may not be efficient for all datatypes/fields. Therefore, the disclosure provides a method and system for identifying predictable fields in an application before ML technique for the predictable fields. The predictable fields are identified based on the domain of the application using a grouping technique, a pattern identification technique and optimization techniques. Further ML techniques are recommended only on identified predictable fields, thereby making the ML process more effective on the application in relevance with the application's domain.

Abstract: System and method for assessing liability/accountability of a driver or a driver assistance technology in a vehicle is disclosed. One or more components used to assist a driver and to collect information of the driver and the vehicle is identified. The one or more components comprise driver assistance technologies and on-board diagnostic systems. After identifying, the information is analyzed to create a plurality of scenarios based on one or more factors. Subsequently, a first score and a second score is calculated corresponding to activation of each of the driver assistance technologies and the driving behavior in the plurality of driving scenarios. Subsequently, the plurality of driving scenarios is classified into one of a technology priority mode and a driver priority mode based on the analysis, the first score and the second score. Based on the classification, a liability of the driver/driver assistance technology is assessed and recommendations are processed.

Abstract: The present disclosure generally relates to driving data monitoring, and more particularly to systems and methods for generating a driving profile of a user based on the driving data. In one embodiment, a method for generating a driving profile of a user is disclosed. The method comprises receiving one or more values corresponding to a plurality of variables. The plurality of variables are associated with driving of a vehicle. The method further comprises determining, based on the one or more values, one or more safety scores corresponding to the plurality of variables. The one or more safety scores are associated with a trip that is completed based on one or more conditions. The method further comprises determining a cumulative safety score for the trip based on the one or more safety scores and determining a driving level of the user to generate the driving profile of the user.

Abstract: The present disclosure generally relates to recording movement of a portable electronic device, and more particularly, to a portable electronic device and methods for recording mobility of the portable electronic device. In one embodiment, a method for recording a mobility of a portable electronic device is disclosed, comprising detecting a movement of the portable electronic device using a first sensor; when the movement exceeds a threshold level, determining velocity, a position coordinate, and a time coordinate of the portable electronic device using a second sensor, wherein the threshold level indicates a pre-configured speed and a pre-configured time period associated with the movement; and recording one or more values corresponding to the determined velocity, the position coordinate, and the time coordinate, the one or more values representing mobility of the portable electronic device.

Abstract: System and method for assessing liability/accountability of a driver or a driver assistance technology in a vehicle is disclosed. One or more components used to assist a driver and to collect information of the driver and the vehicle is identified. The one or more components comprise driver assistance technologies and on-board diagnostic systems. After identifying, the information is analysed to create a plurality of scenarios based on one or more factors. Subsequently, a first score and a second score is calculated corresponding to activation of each of the driver assistance technologies and the driving behaviour in the plurality of driving scenarios. Subsequently, the plurality of driving scenarios is classified into one of a technology priority mode and a driver priority mode based on the analysis, the first score and the second score. Based on the classification, a liability of the driver/driver assistance technology is assessed and recommendations are processed.

Abstract: The present disclosure generally relates to driving data monitoring, and more particularly to systems and methods for generating a driving profile of a user based on the driving data. In one embodiment, a method for generating a driving profile of a user is disclosed. The method comprises receiving one or more values corresponding to a plurality of variables. The plurality of variables are associated with driving of a vehicle. The method further comprises determining, based on the one or more values, one or more safety scores corresponding to the plurality of variables. The one or more safety scores are associated with a trip that is completed based on one or more conditions. The method further comprises determining a cumulative safety score for the trip based on the one or more safety scores and determining a driving level of the user to generate the driving profile of the user.

Abstract: The present disclosure generally relates to recording movement of a portable electronic device, and more particularly, to a portable electronic device and methods for recording mobility of the portable electronic device. In one embodiment, a method for recording a mobility of a portable electronic device is disclosed, comprising detecting a movement of the portable electronic device using a first sensor; when the movement exceeds a threshold level, determining velocity, a position coordinate, and a time coordinate of the portable electronic device using a second sensor, wherein the threshold level indicates a pre-configured speed and a pre-configured time period associated with the movement; and recording one or more values corresponding to the determined velocity, the position coordinate, and the time coordinate, the one or more values representing mobility of the portable electronic device.