WO2021254016A1

WO2021254016A1 - System and method for intelligent reminders on a user device

Info

Publication number: WO2021254016A1
Application number: PCT/CN2021/092057
Authority: WO
Inventors: Rawal PRATEEK; Patidar NARENDRA; Kasera NEERAJ; Singh BINOD KUMAR; Jyothirmayi K; Manoj Kumar; Tiwary SUMIT KUMAR
Original assignee: Guangdong Oppo Mobile Telecommunications Corp., Ltd.
Priority date: 2020-06-16
Filing date: 2021-05-07
Publication date: 2021-12-23

Abstract

The present invention provides for triggering intelligent reminders on a user device. The invention commences when a reminder information associated with a trigger is received from the user. The invention encompasses that the reminder information received from the user may comprise of at least one entity. Upon receipt of the reminder information, at least one entity in the reminder information is identified. Thereafter, based on the at least one entity in the reminder information, at least one tag in at least one of a database and application is determined. Finally, at least one reminder generated based on the reminder information and the at least one determined tag. The reminder is then dynamically triggered on the user device.

Description

SYSTEM AND METHOD FOR INTELLIGENT REMINDERS ON A USER DEVICE

TECHNICAL FIELD

The present disclosure relates generally to triggering of a reminder on a user device, and more particularly, to a system and method for triggering intelligent reminders on a user device.

BACKGROUND

The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the overall field of the invention, and not as admissions of prior art. With the strive to make tasks easier and more convenient for the user, technology allows the user to set reminders for doing various tasks. These mechanisms allow the user to set a reminder for a particular time and add a description for the reminder. The reminder is only triggered when the time set for the reminder matches the clock. This mechanism only provides for triggering the reminder when the time set for reminder is reached and displays the description input by the user. Since these reminders are not dynamically changed by the system and are only triggered based on the time set, these reminders are often known as “static reminders” .

However, static reminders have many inherent limitations. There exists a need to provide for improvement in this area of technology.

SUMMARY OF THE INVENTION

This section is provided to introduce certain objects and aspects of the present invention in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. In order to overcome at least a few problems associated with the known solutions as provided in the previous section, an object of the present invention is to provide for a system and method for triggering intelligent reminders on a user device.

It is also an object of the present invention to provide for a mechanism that intelligently generates meaningful reminders using the details stored in various applications and databases.

It is yet an object of the present invention to provide for triggering meaningful and intelligent reminders to a user dynamically.

In view of the aforesaid objects of the present invention, a first aspect of the present invention relates to a method for triggering intelligent reminders on a user device. The invention commences when a reminder information associated with a trigger is received from the user using an input unit. The invention encompasses that the reminder information received from the user may comprise of at least one entity. Upon receipt of the reminder information, at least one entity in the reminder information is identified by an entity manager. Thereafter, based on the at least one entity, at least one tag in at least one of a database and application is determined by an identification manager. Finally, at least one reminder is generated by a reminder module based on the reminder information and the at least one determined tag. The reminder is then dynamically triggered on a user interface of the user device.

Another aspect of the invention relates to a system for intelligent reminders on a user device. The system comprises of a user device comprising of an input unit, an entity manager, an identification manager and a reminder module. The input unit is configured to receive a reminder information associated with a trigger from a user. The invention encompasses that the reminder information comprises of at least one entity. Thereafter, the entity manager is configured to identify at least one entity. Based on the at least entity, the identification manager is configured to determine at least one tag. Finally, the reminder module is configured to generate at least one reminder based on the reminder information and the at least one determined tag and dynamically trigger the at least one reminder on the user interface of the user device.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components. Although exemplary connections between sub-components have been shown in the accompanying drawings, it will be appreciated by those skilled in the art, that other connections may also be possible, without departing from the scope of the invention. All sub-components within a component may be connected to each other, unless otherwise indicated.

Figure 1 illustrates an architecture of a system for triggering intelligent reminders on a user device, in accordance with exemplary embodiments of the present invention.

Figure 2 illustrates a flow diagram depicting an exemplary method for triggering intelligent reminders on a user device, in accordance with exemplary embodiments of the present invention.

The foregoing shall be more apparent from the following more detailed description of the invention.

DETAILED DESCRIPTION OF THE INEVNTION

In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, that embodiments of the present invention may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein. Example embodiments of the present invention are described below, as illustrated in various drawings.

Apart from static reminders as discussed in the background section, there are also certain known mechanisms that provide for associating multiple to-do-list items of the user and combining them into one reminder. The objective of such mechanism is to centralize all the Personal Information Management (PIM) records of the user in multiple electronic devices and generate reminders only based on time and proximity. Hence, these systems remind users of the tasks in specific times only.

It is pertinent to note that these mechanisms simply trigger the reminder at a particular time. Therefore, there is no dynamic triggering of the reminders. Further, the description of the reminders is used “as-is” and is not adapted intelligently based on the context of the reminder. It is observed that there is no mechanism in the prior art that processes a reminder description received from a user to generate and trigger meaningful and intelligent reminders. In fact, there is no mechanism that automatically and dynamically changes the reminder information received to a meaningful and reliable reminder.

Therefore, there exists a need for a mechanism that processes reminder information received from an user to trigger meaningful and intelligent reminders to the user. Particularly, there is a need to automatically and intelligently adapt the description of the reminder based on the context of the reminder information received.

In order to overcome the above limitations and drawbacks, the present invention provides a method and system for triggering intelligent reminders on a user device. The invention commences when a reminder information associated with a trigger is received from the user. The invention encompasses that the reminder information received from the user may comprise of at least one entity. Upon receipt of the reminder information, at least one entity in the reminder information is identified. Thereafter, based on the at least one identified entity, at least one tag in at least one of a database and application is determined. Finally, at least one reminder is generated based on the reminder information and the at least one determined tag. The reminder is then dynamically triggered on the user interface of the user device.

As used herein, “connect” , “configure” , “couple” and its cognate terms, such as “connects” , “connected” , “configured” and “coupled” may include a physical connection (such as a wired/wireless connection) , a logical connection (such as through logical gates of semiconducting device) , other suitable connections, or a combination of such connections, as may be obvious to a skilled person.

As used herein, “send” , “transfer” , “transmit” , and their cognate terms like “sending” , “sent” , “transferring” , “transmitting” , “transferred” , “transmitted” , etc. include sending or transporting data or information from one unit or component to another unit or component, wherein the data or information may or may not be modified before or after sending, transferring, transmitting.

Referring to Figure 1, an exemplary implementation of a system for triggering intelligent reminders on a user device. As shown, the system [100] comprises of a user device [102] comprising of a user interface [102a] , an input unit [102b] , an entity manager [102c] , an identification manager [102d] , a database [102e] and a reminder module [102f] . Although the entity manager [102c] , the identification manager [102d] , the database [102e] and reminder module [102f] are shown to be a component of user device [102] in figure 1, the invention encompasses that these units and modules may be separate units and entities that may be connected to the user device [102] using any communication network, wired or wireless, configured to work in accordance with the working of the present invention, and without departing from the scope of the invention.

As used herein, the user device [102] refers to any electrical, electronic, electromechanical and computing device. The user device [102] may include, but is not limited to, a mobile phone, a smartphone, a tablet, a phone, a laptop, a wearable device, a personal digital assistant and any such device obvious to a person skilled in the art. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] .

Also, in Fig. 1 only one user device [102] is shown, however the system [100] may comprise of multiple such units and modules or the system [100] may comprise any such numbers of said units and modules, obvious to a person skilled in the art to implement the features of the present invention. Also, there may be one or more subunits of said units and modules of the system [100] or user device [102] and the same is not shown in the Fig. 1 for the purpose of clarity. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] or user device [102] . The system [100] or user device [102] may also include more or less components than those illustrated in Figure 1 or have a different configuration than that illustrated in this Figure 1.

The user interface [102a] is configured to display at least one icon, application, graphics, text, media, video, web page or an application window of the user device [102] . The user interface [102a] is configured to display at least one application to the user. The user interface [102a] may be comprise of a multi-touch interface such as the input unit [102b] . As used herein, an application refers to any self-contained or a group of computer software package (s) that performs a specific function directly for the user or, in some cases, for another application in accordance with the working of the present invention. An application can be programs designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user of the application installed on an user device [102] , including any application that uses at least one of the IP communication protocol and the non-IP communication protocol for transmission.

The user interface [102a] is further configured to display at least one reminder to the user. The invention encompasses that a notification may be displayed to the user comprising of the at least one reminder. The reminder is received from the reminder module [102f] . In a preferred embodiment, the notification may comprise of an alert to the user, a description of the reminder generated in accordance with the working of the present invention, along with an option to dismiss or snooze the reminder. In another embodiment, the notification may comprise of an option to delete the reminder.

The input unit [102b] is configured to receive an input from the user. In an embodiment, an input may be received may be received from the user to open an application. The invention encompasses that an input may also be received to enter a reminder information. In a preferred embodiment, an input may be received to enter a reminder information associated with a trigger from a user. For example, the user may click a soft button on a touch panel of the input unit [102b] to open a reminder application. In another example, the user may click on an input panel of the input unit [102b] to enter a reminder information associated with a trigger from a user in an input area.

As used herein in this disclosure, a reminder information refers to any text, character, numeric value, alphanumeric values, denotation, phrase, generic terms or any other meaningful and combination of all, that may be entered by the user as a reminder associated with a trigger for a particular task or event, in accordance with the working of the present invention. For example, a reminder information received from the user may be “Send wedding invite to boss” . In another example, a reminder information received from the user may be “Buy new geyser before winter” . In yet another example, a reminder information received from the user may be “Wish sister on her birthday” .

The invention encompasses that the reminder information comprises of at least one entity. The entity may be identified by the entity manager [102c] as mentioned in the disclosure below.

The input unit [102b] is configured to allow a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof. The invention encompasses that the input unit [102b] provides an interactive interface to the user. The invention encompasses that the input unit [102b] may include a touch panel configured to collect the user’s input. The invention further encompasses that the input unit [102b] may comprise of a touch panel, a soft keypad, a hard keypad (including buttons) and the like. The input unit [102b] may be configured to receive the input from the user via a graphical user interface on the touch panel. As used herein, a “graphical user interface” may be a user interface that allows a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof, and may comprise of a touch panel configured to receive an input using a touch screen interface. For example, the input unit [102b] may include a touch panel configured to collect the user’s input via touch operation, thereon or near, and using a finger or a stylus. The invention encompasses that the detection of the touch on a graphical user interface of the user device [102] can be realized by various types such as resistive, capacitive, infrared, and surface acoustic waves.

Further, the invention encompasses that the input unit [102b] is configured to receive a response to a notification displayed to the user. The input unit [102b] is configured to receive a selection of an option of the notification displayed to the user, as a response. In a preferred embodiment, the response to a notification received from the user may be to dismiss or snooze the reminder. In another embodiment, the response to a notification received from the user may to delete the reminder.

The input unit [102b] is further configured to transmit the reminder information received from the user to at least one of the entity manager [102c] and the reminder module [102f] .

The entity manager [102c] is configured to receive the reminder information entered by the user from the input unit [102b] . The invention encompasses that entity manager [102c] is also configured to identify at least one entity in the reminder information received from the input unit [102b] . The invention encompasses that the entity manager [102c] is configured to identify the at least one entity in the reminder information received using natural language processing. The identified entity may a word, a time or a date/day in the reminder information using natural language processing.

As used herein, an entity is any character, word, alphanumeric, number or a keyword that may be identified by the entity manager [102c] to dynamically trigger an intelligent reminder to the user in accordance with the working of the present invention. For example, the entity may be identified as a common noun “HR manager” in a reminder information “send CV to HR manager” received from the user. In another example, entity “boss” may be identified in a reminder information “Send wedding invite to boss” received from the user. In yet another example, entities “buy” , “geyser” and “winter” may be identified in a reminder information “Buy new geyser before winter” received from the user. In yet another example, entities “sister” and “birthday” may be identified in a reminder information “Wish sister on her birthday” received from the user. In yet another example, the entity manager [102c] may identify the entities “Manager” , “last week of May” in a reminder information “appraisal data to Manager in last week of May” received from the user. In yet another example, the entity manager [102c] may identify the entities “AC” , “repair” and “Summer” in a reminder information “Repair the AC before Summer” received from a user.

The entity manager [102c] is further configured to transmit the identified at least one entity to the identification manager [102d] .

The identification manager [102d] is configured to receive the at least one entity identified by the entity manager [102c] . The identification manager [102d] is further configured to determine at least one tag. As used herein, at least one tag is at least a portion of an image, video, contact, text, webpage, document, or any other file or application that is based on the entity identified in the reminder information. The invention encompasses that the at least one tag is determined based on the at least one entity.

The present invention encompasses that the identification manager [102d] is further configured to analyze at least one application on the user device to determine at least one tag. The invention encompasses that the identification manager [102d] is configured to analyze at least one application by processing at least one entry in the application. In a preferred embodiment, the identification manager [102d] may process all the entries in at least one application. In another example, the identification manager [102d] may process only certain selected entries in at least one application. The identification manager [102d] is configured to analyze the at least one application using at least one of artificial intelligence and image processing. In an embodiment, the identification manager [102d] is configured to analyze the at least one application by comparing at least one entry in the application to at least one entity. For example, a contact record with the name comprising of “HR manager” may be tagged by the identification manager [102d] for the identified entity “HR manager” in a reminder information “send CV to HR manager” received from the user. In yet another example, a page/record on a social networking application with relationship status “sister” may be tagged for the identified entities “sister” and “birthday” may be identified in a reminder information “Wish sister on her birthday” received from the user.

The present invention encompasses that the identification manager [102d] is further configured to analyze at least one entry in at least one database [102e] to determine at least one tag. In a preferred embodiment, the identification manager [102d] may process all the entries in at least one database [102e] . In another example, the identification manager [102d] may process only certain selected entries in at least one database [102e] . The identification manager [102d] is configured to analyze by processing at least one entry in the at least one database [102e] using at least one of artificial intelligence and image processing. The identification manager [102d] is configured to analyze by comparing at least one entry in at least one database [102e] to at least one entity. For example, a video depicting a company which sells geysers stored in the database [102e] may be tagged for identified entities “buy” , “geyser” and “winter” in a reminder information “Buy new geyser before winter” received from the user. In another example, an image of a company repairing ACs in the database [102e] may be tagged for the identified entities “AC” , “repair” and “Summer” in a reminder information “Repair the AC before Summer” received from a user.

In a preferred embodiment, the identification manager [102d] is further configured to detect at least a portion of a frame of a media in at least one entity in at least one application and/or a database [102e] . As used herein, a media is an image, video, live broadcast, pod cast, snippet, graphics, animation, contact details, web page, document, file or any other file or information that is stored or can be accessed by any application or database [102e] of the user device [102] . As used herein, at least a portion of a frame of a media in at least one entity means at least a portion of a frame of a video, live broadcast, pod cast, snippet, graphics, animation, contact details, web page, document, file or any other file or information that is stored or can be accessed by any application or database [102e] of the user device [102] . The invention encompasses that the identification manager [102d] is further configured to detect at least a portion of a frame of a media in at least one entity using image processing. In an embodiment, the identification manager [102d] is further configured to detect at least a portion of a frame of a media in at least one entity using artificial intelligence. For example, only a frame of the video depicting a company which sells geysers stored in the database [102e] may be tagged for identified entities “buy” , “geyser” and “winter” in a reminder information “Buy new geyser before winter” received from the user.

The invention further encompasses that the identification manager [102d] is further configured to associate the at least one determined tag with the at least one entity identified in reminder information. In a preferred embodiment, the identification manager [102d] is configured to extract and incorporate the at least one determined tag in the at least one entity identified in reminder information. In another embodiment, the identification manager [102d] is configured to incorporate a link to between the at least one determined tag and the at least one entity identified in reminder information. In yet another embodiment, the identification manager [102d] is configured to copy the at least one determined tag on the at least one entity identified in reminder information.

The identification manager [102d] is configured to transmit the determined at least one tag to the reminder module [102f] . The invention encompasses that the identification manager [102d] is also configured to transmit the determination of at least one tag along with the association of the at least one determined tag with the at least one entity identified in reminder information. In a preferred embodiment, identification manager [102d] is configured to transmit the detected at least a portion of a frame of a media in at least one entity in an application or a database [102e] to the reminder module [102f] .

The database [102e] is configured to store at least one media. In a preferred embodiment, the at least one media may be stored in association with at least one entity or category. The database [102e] is further configured to store the at least one reminder generated by the reminder module [102f] . The invention encompasses that the database [102e] is configured to store the at least one reminder to be associated with at least one entity. The database [102e] is configured to allow the user device [102] to execute various functional instructions and data processing by running software programs and modules. The database [102e] may include, but is not limited to, a volatile memory, non-volatile memory, a remote storage, a cloud storage, high-speed random-access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR) or a combination thereof. In some embodiments, the database [102e] may further include memory remotely configured relative to user device [102] via a wireless communication network.

The reminder module [102f] is configured to generate at least one reminder. The reminder module [102f] is configured to generate at least one reminder based on the reminder information and the at least one tag determined by the identification manager [102d] . The invention encompasses that the reminder module [102f] is configured to generate the at least one reminder using artificial intelligence. The reminder module [102f] is further configured to store the at least one generated reminder in the database [102e] . The invention encompasses that the at least one reminder is stored in the database [102e] to be associated with at least one entity. In a preferred embodiment, the at least one reminder is generated dynamically and automatically.

The invention encompasses that the reminder module [102f] is configured to generate at least one reminder by processing the at least one tag determined by the identification manager [102d] . The reminder is generated by adding the at least one determined tag to the reminder information. In an embodiment, the reminder is generated by replacing at least one entity in the reminder information by the at least one determined tag. In another embodiment, the reminder is generated by adding the at least one determined tag in relation to the at least one entity. The invention further encompasses that the reminder module [102f] is configured to generate at least one comprising of at least a portion of a frame of a media detected in at least one entity in an application or a database [102e] . For example, a reminder “send CV to Alex in HR” may be generated when a contact record “Alex HR manager” is tagged by the identification manager [102d] for the identified entity “HR manager” in a reminder information “send CV to HR manager” received from the user. In another example, a reminder “Wish sister Monica on her birthday on 1 ^st July” with a photo of the sister may be generated, when a page/record on a social networking application is tagged for the identified entities “sister” and “birthday” in a reminder information “Wish sister on her birthday” received from the user. In yet another example, a reminder “Buy new geyser from XYZ Company before November” along with showing a video depicting the XYZ company which sells geysers along with the details may be generated for the identified entities “buy” , “geyser” and “winter” in a reminder information “Buy new geyser before winter” received from the user. In yet another example, a reminder “Repair AC from ABC company before Summer” along with the tagged image of ABC company repairing ACs may be generated for the identified entities “AC” , “repair” and “Summer” in a reminder information “Repair the AC before Summer” received from a user.

The invention encompasses that the reminder module [102f] is further configured to dynamically trigger the at least one reminder. The invention encompasses that the reminder may be dynamically triggered as an alert to the user. In a preferred embodiment, the reminder may be dynamically triggered by generating a sound or audio on the user device [102] . In another embodiment, the reminder may be dynamically triggered by initiating a vibration on the user device [102] in an event the sound of the user device [102] is off/on silent mode. In yet another embodiment, the reminder may be dynamically triggered by displaying a message, a pop-up message on the user device.

The invention further encompasses that the reminder module [102f] is further configured to dynamically trigger the reminder using artificial intelligence. In a preferred embodiment, the reminder module [102f] is further configured to dynamically trigger based on the context of the reminder. The reminder module [102f] is configured to parse the reminder and dynamically trigger the reminder based on the context of the reminder. For example, the reminder “Wish sister Monica on her birthday on 1 ^st July” with a photo of the sister generated for the reminder information “Wish sister on her birthday” received from the user, may be automatically and dynamically triggered annually on 1 ^st July. In yet another example, the reminder “Buy new geyser from XYZ Company before November” along with showing a video depicting the XYZ company which sells geysers along with the details, generated for the reminder information “Buy new geyser before winter” received from the user may automatically and dynamically be triggered on 1 ^st November. In yet another example, the reminder “Repair AC from ABC company before Summer” along with the tagged image of ABC company repairing ACs generated for the reminder information “Repair the AC before Summer” received from a user, may automatically be triggered in April before Summer season starts.

The reminder module [102f] is further configured to generate a notification comprising of the reminder to the user. The notification of the reminder is displayed on the user interface [102a] . In a preferred embodiment, the notification may comprise of an alert to the user along with an option to dismiss or snooze the reminder. In another embodiment, the notification may comprise of an option to delete the reminder.

As used herein, the entity manager [102c] , the identification manager [102d] , the database [102e] and reminder module [102f] include one or more processors, wherein processor refers to any logic circuitry for processing instructions. The entity manager [102c] , the identification manager [102d] , the database [102e] and reminder module [102f] may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The entity manager [102c] , the identification manager [102d] , the database [102e] and reminder module [102f] may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system [100] according to the present disclosure. More specifically, the entity manager [102c] , the identification manager [102d] , the database [102e] and reminder module [102f] are hardware processor/server.

Although only one user device [102] has been shown in the Fig. 1, it will be appreciated by those skilled in the art that the invention may be implemented in any number of user devices [102] .

Figure 2 illustrates a flow diagram depicting an exemplary method for triggering intelligent reminders in a user device is disclosed in accordance with exemplary embodiments of the present invention.

The method begins at step 202, when a reminder information is received from user using the input unit [102b] . An input may also be received may be received from the user to open an application. Further, an input may be received to start an application to set a reminder. An input may be received to enter a reminder information in an application. For example, the user may click a soft button on a touch panel of the input unit [102b] to open a calendar application. The user may then click on an input area of the calendar application to enter a reminder information. In another example, the user may click a soft button on a touch panel of the input unit [102b] to open a clock application. The user may then click on an input area of the clock application to enter a reminder information.

The invention encompasses that the reminder information is associated with a trigger from the user. The associated trigger is for a alerting the user for a particular task or event in the reminder information. For example, a reminder information “Check with HR about latest change in LTA policy” may be received from the user in an alarm application. In another example, a reminder information “Service the car in six months” may be received from the user in a calendar application.

The invention encompasses that the reminder information received from the user comprises of at least one entity. The input received from the user is then transmitted to the entity manager [102c] .

At step 204, upon receipt of the input, at least one entity is identified in the reminder information received from the user. The reminder information is received by the entity manager [102c] for identifying the at least one entity. In a preferred embodiment, the at least one entity is identified in the input received by the entity manager [102c] using natural language processing. For example, the entity manager [102c] may identify the entity “HR” in a reminder information “Check with HR about latest change in LTA policy” . In another example, the entity manager [102c] may identify the entities “Car” , “servicing” and “six months” in a reminder information “Service the car in six months” .

At step 206, at least one tag is determined. The at least one entity identified by the entity manager [102c] is received by the identification manager [102d] . The invention encompasses that the at least one tag is determined by the identification manager [102d] . The determination of at least one tag is based on the at least one entity.

The present invention encompasses that at least one application on the user device [102] may be analyzed by the identification manager [102d] to determine at least one tag. The at least one application is analyzed by the identification manager [102d] by processing at least one entry in application. In a preferred embodiment, all the entries of at least one application may be processed by the identification manager [102d] . In another embodiment, only certain selected entries in the application may be processed by the identification manager [102d] .

The invention encompasses that the at least one application may be analyzed by the identification manager [102d] . The at least one application is analyzed using at least one of artificial intelligence and image processing. The at least one application may be analyzed by comparing at least one entry in the application to at least one entity identified in the reminder information. For example, the contact application may be analyzed by processing all entries in the contact application with respect to the entity “HR” identified in the reminder information using artificial intelligence. The entries in the contact application with at least a portion of the name of the entry comprising of “HR” or “Human Resource” or “HR dept” may be tagged using artificial intelligence with respect to the entity “HR” identified in the reminder information. In another example, all entries with at least a portion of the name comprising of “Car” may be tagged in a video application using artificial intelligence.

The invention further encompasses that the at least one database [102e] may be analyzed by the identification manager [102d] . The at least one database [102e] is analyzed using at least one of artificial intelligence and image processing. The at least one database [102e] may be analyzed by comparing at least one entry in the database [102e] to at least one entity identified in the reminder information. In a preferred embodiment, all the entries in the database [102e] may be processed. In another embodiment, only certain entries in at least one database [102e] may be processed. For example, the database [102e] may be analyzed by processing all entries with respect to the entity “Servicing” identified in the reminder information using artificial intelligence. The entries, such as videos, in the database [102e] with at least a portion of the content of the video comprising of “car” or “automobile” and “servicing” or “repair” or “maintenance” may be tagged using artificial intelligence with respect to the entity “servicing” identified in the reminder information.

In a preferred embodiment, at least a portion of a frame of a media in at least one entity is detected in an application or a database [102e] . The invention encompasses that at least a portion of a frame of a media is detected in at least one entity using image processing. In an embodiment, at least a portion of a frame of a media is detected in at least one entity using artificial intelligence. For example, the image of all the identified tagged entries comprising of “HR” or “Human Resource” or “HR dept” in the name of the contact may be detected using image processing. In another example, at least one frame of all videos with at least a portion of the content of the frame of the video comprising of “car” or “automobile” and “servicing” or “repair” or “maintenance” may be detected using image processing.

The invention further encompasses that the determination of at least one tag comprises associating at least one determined tag with at least one entity identified in reminder information. In a preferred embodiment, the at least one determined tag is extracted and incorporated in at least one entity identified in reminder information. In another embodiment, a link between at least one determined tag and at least one entity identified in reminder information is created. In yet another embodiment, the at least one determined tag is copied in the at least one entity identified in reminder information.

The at least one determined tag is then transmitted to the reminder module [102f] . The invention encompasses that the at least one determined tag is transmitted along with the association of at least one determined tag with at least one entity identified in reminder information. In a preferred embodiment, the detected portion of a frame of a media in at least one entity in an application or a database [102e] is also transmitted to the reminder module [102f] .

At step 208, at least one reminder is generated. The invention encompasses that at least one reminder is generated by the reminder module [102f] . In a preferred embodiment, the at least one reminder is generated dynamically. The invention encompasses that at least one reminder is generated based on the reminder information and the at least one tag determined by the identification manager [102d] . The at least one reminder may be generated using artificial intelligence.

The invention encompasses that the at least one reminder is generated by the reminder module [102e] by processing the at least one tag determined by the identification manager [102d] . The reminder is generated by adding the at least one determined tag to the reminder information. In an embodiment, the reminder is generated by replacing at least one entity in the reminder information by the at least one determined tag. In another embodiment, the reminder is generated by adding the at least one determined tag in relation to the at least one entity in the reminder information. The invention further encompasses that the reminder generated may comprise of the at least a portion of a frame of a media detected in at least one entity in an application or a database [102e] . For example, the reminder “Check with Alex in HR department about the latest change in LTA policy” may be generated, along with a photo of Alex retrieved from a social media application, for the received reminder information “Check with HR about latest change in LTA policy” . In another example, a reminder with a video of a car servicing advertisement may be generated along with the text “Service the car here in six months” for the received reminder information “Service the car in six months” .

The reminder may then be stored in a database [102e] by the reminder module [102e] . The at least one reminder is stored in the database [102e] to be associated with at least one entity.

Finally, at step 210, at least one reminder is dynamically triggered. The at least one reminder is dynamically triggered by the reminder module [102f] . The invention encompasses that the reminder may be dynamically triggered as an alert to the user. In a preferred embodiment, the reminder may be dynamically triggered by generating a sound or audio on the user device [102] . In another embodiment, the reminder may be dynamically triggered by initiating a vibration on the user device [102] in an event the sound of the phone is off/on silent mode. In yet another embodiment, the reminder may be dynamically triggered by displaying a message, a pop-up message on the user device.

The invention further encompasses that the reminder is dynamically triggered using artificial intelligence. In a preferred embodiment, the reminder is dynamically triggered based on the context of the reminder. For example, the reminder “Wish mom and dad on their anniversary on 7 ^th December” with a photo the parents may be automatically and dynamically triggered annually on 7 ^th December. In yet another example, the reminder “Buy new geyser from XYZ Company before Winter” along with showing a video depicting the XYZ company selling geysers along with the details may be automatically and dynamically triggered on 1 ^st November before Winter starts. In yet another example, reminder “Repair AC from ABC company before Summer” along with the tagged image of ABC company repairing ACs may automatically be triggered in April before Summer season starts.

The invention encompasses that the reminder may be displayed as a notification to the user on the user interface [102a] . In a preferred embodiment, the notification may comprise of an alert to the user along with an option to dismiss or snooze the reminder. In another embodiment, the notification may comprise of an option to delete the reminder. The notification may be a pop-up message, a message, an email, an overlay message and the like. For example, a notification comprising of an audio sound and a message “Check with HR about latest change in LTA policy” may be displayed on the user device [102] simultaneously. In another example, a video of a car servicing advertisement may be played on the user interface [102a] along with the notification comprising of text “Service the car here in six months” and an option to dismiss and delete the reminder.

In an exemplary embodiment, the invention begins when an input is received from user to open a calendar application to set a reminder. Thereafter, a reminder information “Wish sales manager on his birthday” is received from user by the input unit [102b] to set a reminder. The reminder information is associated with a trigger from the user for alerting the user for a particular task in the reminder information. The input received from the user is then transmitted to the entity manager [102c] .

Upon receipt of the reminder information, at least one entity is identified in the reminder information received from the user by the entity manager [102c] using natural language processing. The entity manager [102c] may identify the entities as “sales manager” and “birthday” in the received reminder information.

Thereafter, at least one tag is determined by the identification manager [102d] . The determination of at least one tag is based on the at least one entity. The identification manager [102d] may analyze all the records of the contact application to determine at least one tag. The analysis of all the records of the contact application comprises of processing all the records to determine the records which have “sales manager” in the job description and/or name of the contact. The records are then tagged. For example, the records of “John Sales Manager” and “Mike Sale Manager” may be tagged. Thereafter, the identification manager [102d] may analyze certain the records of a social networking application which have the name “John” and “Mike” to determine the birthday of the records. The identification manager [102d] may then extract the birthday of the records which have the name “John” and “Mike” from the social networking application, for example, “27 ^th August” and “18 ^th September” . The identification manager [102d] may also extract the image of these identified records using image processing from the social networking application.

The invention further encompasses that the determined tags are then linked to the entities sales manager” and “birthday” in the received reminder information. The determined tags of the records of “John Sales Manager” and “Mike Sale Manager” , the birthday of the records which have the name “John” and “Mike” from the social networking application and the extracted images may then be transmitted to the reminder module [102f] .

Thereafter, at least one reminder is generated by the reminder module [102f] dynamically. The reminder is generated based on the reminder information and the at least one tag determined by the identification manager [102d] . The reminder is generated by the reminder module [102e] by processing the at least one tag determined by the identification manager [102d] and adding or replacing the at least one determined tag to the reminder information. That is, the reminders “Wish John Sales Manager on 27 ^th August” and “Wish Mike Sale Manager on 18 ^th September” may be generated. The reminders may comprise of the images of John and Mike extracted from the social networking application. The reminders may then be stored in a database [102e] by the reminder module [102e] .

Finally, the reminders are dynamically triggered by the reminder module [102f] . The reminders may be dynamically triggered as an alert to the user by generating a sound or audio, such as a birthday song, on the user device [102] and by displaying a message “Wish John Sales Manager on his birthday 27 ^th August” with an option to dismiss and delete the reminder. The invention encompasses that the reminder may be dynamically triggered on the date of the birthday.

In an exemplary embodiment, the invention begins when an input is received from user to open a clock application to set a reminder. Thereafter, a reminder information “Servicing the AC before Summer” is received from user by the input unit [102b] to set a reminder. The reminder information is associated with a trigger from the user for alerting the user for a particular task of servicing the AC before Summer season in the reminder information. The input received from the user is then transmitted to the entity manager [102c] .

Upon receipt of the reminder information, at least one entity is identified in the reminder information received from the user by the entity manager [102c] using natural language processing. The entity manager [102c] may identify the entities as “Servicing” , “AC” and “Summer” in the received reminder information.

Thereafter, at least one tag is determined by the identification manager [102d] . The determination of at least one tag is based on the at least one entity. The identification manager [102d] may analyze all the records of a database [102e] to determine at least one tag. The analysis of all the records of the database [120e] comprises of processing all the media stored in the database [102e] to determine at least one entry related to “servicing of AC” . The videos and images comprising to words “servicing” , “maintenance” , “repair” , “Air Conditioner” and “AC” , determined using artificial intelligence, are then tagged. For example, the video of an advertisement relating to a company for “Servicing ACs” may be tagged. In another example, an image of company for “repair of Air Conditioners” may be tagged” . The identification manager [102d] may then extract the relevant frames of the videos and images tagged in the records of the database [102e] . The invention further encompasses that the determined tags are then linked to the entities “servicing” and “AC” in the received reminder information. The determined tags are then be transmitted to the reminder module [102f] .

Thereafter, at least one reminder is generated by the reminder module [102f] dynamically. The reminder is generated based on the reminder information and the at least one tag determined by the identification manager [102d] . The reminder is generated by the reminder module [102e] by processing the at least one tag determined by the identification manager [102d] and adding or replacing the at least one determined tag to the reminder information. That is, the reminders “Servicing the AC before Summer by XYZ Company” may be generated, along with the determined frame of a video or image of the Company. The reminders may also comprise of the details of the Company extracted from the video or image, using image processing. The reminders may then be stored in a database [102e] by the reminder module [102e] .

Finally, the reminders are dynamically triggered by the reminder module [102f] . The reminders may be dynamically triggered as an alert to the user by generating a sound or audio on the user device [102] and by displaying a message “Servicing the AC by XYZ Company” with an option to dismiss and delete the reminder. The invention encompasses that the reminder may be dynamically triggered in the Month of March before the summer season starts.

As evident from the above description, the present disclosure provides for a method and system for triggering intelligent reminders in a user device. The present invention further provides for intelligently generating a meaningful reminder using the details stored in various applications and database. Particularly, the present invention provides for a mechanism that processes an input received from the user to suggest meaningful and intelligent reminder that may be triggered dynamically. Hence, the present invention results in significant technical advancement over the prior art systems which only provide for a static reminder system that triggers a reminder when the time for the reminder matches with the clock.

The units, interfaces, modules, and/or components depicted in the figures and described herein may be present in the form of a hardware, a software and a combination thereof. Connection/sshown between these units/components/modules/interfaces in the exemplary system architecture may interact with each other through various wired links, wireless links, logical links and/or physical links. Further, the units/components/modules/interfaces may be connected in other possible ways.

While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated by those skilled in the art that many changes can be made to the embodiments disclosed herein without departing from the principles and scope of the present invention.

Claims

A method for intelligent reminders on a user device [102] , the method comprising:

- receiving, by an input unit [102b] , a reminder information associated with a trigger from a user, the reminder information comprising of at least one entity;

- identifying, by an entity manager [102c] , at least one entity in the reminder information;

- determining, by an identification manager [102d] , at least one tag based on the at least one entity;

- generating, by a reminder module [102f] , at least one reminder based on the reminder information and the at least one tag, and

- dynamically triggering, by the reminder module [102f] , the at least one reminder on a user interface [102a] .
The method as claimed in claim 1, further comprising, displaying, a notification, by the user interface [102a] , comprising of the at least one reminder.
The method as claimed in claim 1, further comprising, analysing, by the identification manager [102d] , at least one application on the user device [102] to determine at least one tag.
The method as claimed in claim 1, further comprising, analysing, by the identification manager [102d] , at least one entry in at least one database [102e] to determine at least one tag.
The method as claimed in claim 3 and 4, wherein the analysis, by the identification manager [102d] , comprises of processing at least one entry in at least one database [102e] and at least one application using at least one of artificial intelligence and image processing.
The method as claimed in claim 3 and 4, wherein the analysis, by the identification manager [102d] , comprises of comparing at least one entry in at least one database [102e] and at least one application to at least one entity.
The method as claimed in claim 3 and 4, further comprising, detecting, by the identification manager [102d] , at least one portion of a frame of a media in at least one entity in an application and a database [102e] .
The method as claimed in claim 7, wherein the at least one portion of the frame of the media is detected, by the identification manager [102d] , using image processing.
The method as claimed in claim 1, wherein at least one entity is identified, by an entity manager [102c] , in the reminder information using natural language processing.
The method as claimed in claim 1, wherein the at least one reminder is dynamically triggering, by the reminder module [102f] , using artificial intelligence.
A system [100] for intelligent reminders on a user device [102] , the system comprising:

- a user device [102] , comprising,

- an input unit [102b] configured to receive a reminder information associated with a trigger from a user, the reminder information comprising of at least one entity;

- an entity manager [102c] configured to identify at least one entity in the reminder information;

- an identification manager [102d] configured to determine at least one tag based on the at least one entity; and

- a reminder module [102f] configured to generate at least one reminder based on the reminder information and the at least one tag, and dynamically trigger the at least one reminder on a user interface [102a] .
The system [100] as claimed in claim 11, wherein the user interface [102a] is configured to display a notification comprising of the at least one reminder.
The system [100] as claimed in claim 11, wherein the identification manager [102d] is further configured to analyse at least one application on the user device [102] to determine at least one tag.
The system [100] as claimed in claim 11, wherein the identification manager [102d] is further configured to analyse at least one entry in at least one database [102e] to determine at least one tag.
The system [100] as claimed in claim 13 and 14, wherein the identification manager [102d] is configured to process at least one entry in at least one database [102e] and at least one application using at least one of artificial intelligence and image processing.
The system [100] as claimed in claim 13 and 14, wherein the identification manager [102d] is configured to compare at least one entry in at least one database [102e] and at least one application to at least one entity.
The system [100] as claimed in claim 11, wherein the identification manager [102d] is configured to detect at least one portion of a frame of a media in at least one entity in at least one database [102e] and at least one application.
The system [100] as claimed in claim 17, wherein the identification manager [102d] is configured to detect the at least one portion of the frame of the media using image processing.
The system [100] as claimed in claim 11, wherein the entity manager [102c] is further configured to identify at least one entity using natural language processing.
The system [100] as claimed in claim 17, wherein the database [102e] is configured to store at least one entry of at least one media.
The system [100] as claimed in claim 17 and 20, wherein the database [102e] is further configured to store at least one reminder.
The system [100] as claimed in claim 11, wherein the reminder module [102f] is further configured to dynamically trigger the at least one reminder using artificial intelligence.
A user device [102] for intelligent reminders on a user device [102] , the user device [102] comprising:

- an input unit [102b] configured to receive a reminder information associated with a trigger from a user, the reminder information comprising of at least one entity;

- an entity manager [102c] configured to identify at least one entity in the reminder information;

- an identification manager [102d] configured to determine at least one tag based on the at least one entity; and

- a reminder module [102f] configured to generate at least one reminder based on the reminder information and the at least one tag, and dynamically trigger the at least one reminder on a user interface [102a] .