Abstract: A method for managing a boost time required for an application launch in an electronic device is provided. The method includes detecting, by the electronic device, a user input to launch the application. Further, the method includes measuring, by the electronic device, real-time system health parameters of the electronic device. Further, the method includes predicting, by the electronic device, an application launch time by inputting the real-time system health parameters to an AI-based application prediction model. Further, the method includes boosting, by the electronic device, at least one hardware of the electronic device based on the predicted application launch time.

Abstract: A method for handling at least one resource operating performance configuration in an electronic device by the electronic device is provided. The method includes determining at least one event that is generated by the at least one application from a plurality of applications running in the electronic device. Further that requires acceleration of the at least one application from the plurality of applications running in the electronic device, the method includes fetching a system configuration based on the determination. Further, the method includes modifying the system configuration for each event to accelerate the execution of each event associated with the at least one application running in the electronic device. The method includes accelerate execution of the application running in the electronic device based on the modified system configuration.

Abstract: Embodiments herein provide an on-device method for enhancing user experience in an electronic device. The method includes monitoring a plurality of parameters associated with an operation of the electronic device. The method includes identifying an anomaly associated with the electronic device based on the plurality of parameters associated with the operation of the electronic device and identifying a class of anomaly to which the anomaly associated with the electronic device belongs using a first on-device model. Further, the method includes presenting at least one question associated with the identified class of anomaly to user of the electronic device using on a second on-device model and receiving at least one user input for the at least one question. Furthermore, the method includes performing at least one action for enhancing the user experience based on the at least one user input for the at least one question.

Abstract: A method for managing a boost time required for an application launch in an electronic device is provided. The method includes detecting, by the electronic device, a user input to launch the application. Further, the method includes measuring, by the electronic device, real-time system health parameters of the electronic device. Further, the method includes predicting, by the electronic device, an application launch time by inputting the real-time system health parameters to an AI-based application prediction model. Further, the method includes boosting, by the electronic device, at least one hardware of the electronic device based on the predicted application launch time.

Abstract: Embodiments herein provide an on-device method for enhancing user experience in an electronic device. The method includes monitoring a plurality of parameters associated with an operation of the electronic device. The method includes identifying an anomaly associated with the electronic device based on the plurality of parameters associated with the operation of the electronic device and identifying a class of anomaly to which the anomaly associated with the electronic device belongs using a first on-device model. Further, the method includes presenting at least one question associated with the identified class of anomaly to user of the electronic device using on a second on-device model and receiving at least one user input for the at least one question. Furthermore, the method includes performing at least one action for enhancing the user experience based on the at least one user input for the at least one question.