KR20220068916A - Method for perdicting and managing talents - Google Patents

Abstract

Provided is a method for predicting and managing talent of a target person by using an application pre-installed in a user terminal. The method comprises the following steps of: collecting activity information of a target person through a predetermined user terminal; matching one or more talent categories corresponding to the activity information among a plurality of previously prepared talent categories; allocating hashtag information indicating interest and performance levels for activity information matching the talent categories; and generating a talent prediction result of the target person based on a collection result of the activity information and the hashtag information for a certain period of time.

Description

How to predict and manage a subject's talents

The present invention relates to a method for predicting and managing a person's talent, and more particularly to a method for early detection and prediction of the talent of a young child.

Recently, various educational methods for discovering and developing children's abilities and various evaluation methods for this have been proposed. .

However, there is a problem in that all of these multiple inspection methods are judged based on the one-time evaluation results through fragmentary, momentary, and partial written tests at the time of the inspection.

In Korea, the majority of college students want to change their majors again, and the majority of office workers also want to change jobs. Survey results often appear. This is a uniform education without considering what they are good at and what they like. This is because results depend solely on the process.

In order to prevent this phenomenon, eventually, the process of discovering, predicting, and managing talent must be accompanied. In the past, there was a method in which a teacher, an observer, closely observed students' behaviors and conversations in an offline manner, and based on this, discovered talents and tracked changes.

However, this observation method is too dependent on the level and competency of the observer, and there are limitations in terms of time and cost because the number of students that one observer can observe is limited.

Laid-open Patent Publication No. 10-2018-0038847 (2018.04.17)

The problem to be solved by the present invention is to provide a method for predicting the subject's talent based on the accumulated data by continuously collecting activity information of the subject, and giving hash tag information indicating the degree of interest and performance to the activity information will do

However, the problems to be solved by the present invention are not limited to the problems described above, and other problems may exist.

A method for predicting and managing a subject's talent using an application pre-installed on a user terminal according to an aspect of the present invention for solving the above-described problem includes: collecting activity information of the subject through a predetermined user terminal; Matching one or more talent categories corresponding to the activity information among a plurality of talent categories prepared in advance; allocating hash tag information indicating the degree of interest and performance for the activity information matched with the talent category; And based on the collection result of the activity information and hash tag information for a certain period of time comprises the step of generating a prediction result of the subject's talent.

In some embodiments of the present invention, the step of collecting the activity information of the subject through the predetermined user terminal comprises: among the activity information included in the activity information list corresponding to the photo or image taken using the camera of the user terminal. The activity information is collected through any one selection input, and the user terminal may be a terminal of at least one user having a talent management right for the subject.

Some embodiments of the present invention, the steps of preparing the activity information collected through the photo or video and selection input as learning data; And further comprising the step of learning an artificial intelligence algorithm using the learning data, the step of collecting the activity information of the subject through the predetermined user terminal, a picture or image taken using the camera of the user terminal The activity information may be collected by automatically selecting and inputting any one of the activity information included in the corresponding activity information list through the learned artificial intelligence algorithm.

In some embodiments of the present invention, the step of preparing the activity information collected through the photo or video and the selection input as learning data includes preparing the allocation information of hash tag information indicating the degree of interest and performance as the learning data. Including the step of, allocating hash tag information indicating the degree of interest and performance for the activity information matched with the talent category, the talent category corresponding to the activity information through the learned artificial intelligence algorithm. Hash tag information indicating interest and performance can be automatically assigned.

In some embodiments of the present invention, the step of collecting activity information of the subject through the predetermined user terminal, if the subject is plural, the user terminal of the first user having talent management rights for the plurality of subjects Activity information corresponding to a plurality of subjects collected through It may be accumulated and stored in an area corresponding to an individual subject among the divided and stored areas.

In some embodiments of the present invention, the step of collecting activity information of the subject through the predetermined user terminal corresponds to at least one of book information, diary information, and conversation information read by the subject input through the user terminal. The activity information may be collected through a selection input of any one of the activity information included in the activity information list.

In some embodiments of the present invention, the generating of the subject's talent prediction result based on the collection result of the activity information and hash tag information for the predetermined period includes a hash tag assigned to each talent category accumulated during the predetermined period. summing the information and averaging; And the averaged result value may include the step of providing a result corresponding to the largest talent category as the talent prediction result.

In some embodiments of the present invention, the generating of the subject's talent prediction result based on the collection result of the activity information and hash tag information for the predetermined period includes continuously collecting the subject's talent prediction result to create a talent portfolio At least among the steps of generating a book, sharing the target's talent prediction result with a user having talent management authority for the target or an acquaintance of the user, and linking a mentor based on the target's talent prediction result It may include one more.

A computer program according to another aspect of the present invention for solving the above-described problems is combined with a computer that is hardware to execute a method for predicting and managing the talent of the subject, and is stored in a computer-readable recording medium.

Other specific details of the invention are included in the detailed description and drawings.

According to the present invention described above, by continuously collecting activity information in the subject's daily life, it is possible to predict and discover the subject's talent and develop it.

In addition, it can be used by the public at a low cost in terms of time and money, and has the advantage of gradually minimizing user intervention for talent prediction and management through a learning process through continuous operation of the service.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a diagram illustrating a system for predicting and managing a subject's talent according to an embodiment of the present invention.
2 is a flowchart of a method for predicting and managing a subject's talent according to an embodiment of the present invention.
3 is a diagram illustrating an example of collecting activity information.
4 is a diagram illustrating talent categories in an embodiment of the present invention.
5 is a diagram for explaining the content of matching activity information and talent category.
6 is a view for explaining the weight assigned to the hash tag information for each talent category.
7 is a diagram illustrating a talent portfolio book generated based on a talent prediction result.
8 is a diagram for describing a mentor support service and a supporters service.
9 to 12 are diagrams illustrating an example of providing a customized service based on a talent prediction result.
13 is a diagram for explaining a method of simulating a mock entrance exam in consideration of a subject's talent according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components. Like reference numerals refer to like elements throughout, and "and/or" includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, with reference to the accompanying drawings, a method for predicting and managing a subject's talent according to an embodiment of the present invention will be described in detail.

1 is a diagram illustrating a system 1 for predicting and managing a subject's talent according to an embodiment of the present invention.

As shown in Figure 1, the present invention includes a server 100 and a predetermined user terminal 200 for predicting and managing the talent of the subject.

At this time, each component constituting the system 1 for predicting and managing the subject's talent shown in FIG. 1 may be connected through a network. The network refers to a connection structure in which information exchange is possible between nodes such as terminals and servers, and an example of such a network includes a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network. , WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, WiFi, etc. are included, but are not limited thereto.

The predetermined user terminal 200 is a terminal that installs an application provided from the server 100 and performs a service corresponding to the present invention through the application. This user terminal 200 corresponds to the user's terminal 200 having talent management authority for the subject.

For example, users having talent management authority for the subject may be teachers and parents. In the case of a teacher, one teacher manages a plurality of subjects, and the user terminal 200 of the teacher is referred to as the first user terminal 210 .

In addition, in the case of the parent, a smaller number of subjects than the teacher is managed, the information of the individual subject generated by the user terminal 210 of the teacher is received, and the parent's terminal is called the second user terminal 220 .

Here, the subject is a subject for predicting and managing talent, and may be an infant under 5 years of age or a child before elementary school, but is not necessarily limited thereto.

For reference, the user terminal 200 according to an embodiment of the present invention is a user terminal capable of accessing a server for predicting and managing the talent of the subject. For example, the user terminal 200 is a wireless communication device that guarantees portability and mobility, that is, a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC), and a Personal Handyphone System (PHS). , PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), all kinds such as Wibro (Wireless Broadband Internet) terminals, etc. may include a handheld-based wireless communication device of

In particular, the user terminal 200 is an intelligent terminal in which a computer support function such as Internet communication and information search is added to a portable terminal, and a mobile phone, a smart phone ( smart phone) and a terminal such as a pad, and may be a general smart watch, wearable terminal, or other mobile communication terminal.

The server 100 provides an application for talent prediction and management to the user terminal 200 , manages an account corresponding to the user terminal 200 , and stores and manages data collected from each user terminal 200 . .

2 is a flowchart of a method for predicting and managing a subject's talent according to an embodiment of the present invention.

Meanwhile, each of the steps shown in FIG. 2 may be understood to be performed by the server 100, but is not necessarily limited thereto.

The subject's talent prediction and management method according to an embodiment of the present invention is to use an application installed in advance in the user terminal 200, and collecting activity information of the subject through a predetermined user terminal 200 (S110) And, matching at least one talent category corresponding to the activity information among a plurality of talent categories prepared in advance (S120), and assigning hash tag information indicating the degree of interest and performance for the activity information matched with the talent category and generating (S140) a result of predicting the subject's talent based on the collection result of the activity information and hash tag information for a certain period of time (S130).

First, the server 100 collects activity information of the subject through a predetermined user terminal 200 (S110). Here, the activity information means that the details of the activity of the subject are recorded and stored in a predetermined manner.

FIG. 3 shows an example of collecting activity information. In an embodiment, the server 100 includes activity information included in the activity information list corresponding to a photo or image taken using the camera of the user terminal 200 . Activity information can be collected through any one selection input.

For example, the parent takes a picture of the subject playing the piano through the second user terminal 220, and selects activity information such as 'music performance' or 'music' among the activity information included in the prepared activity information list and input, the server 100 may collect such activity information.

If there is no activity information corresponding to the activity information list, the user of the user terminal 200 may directly input activity information.

In another embodiment, the server 100 may collect activity information through a selection input of any one of the activity information included in the activity information list corresponding to the book information read by the subject input through the user terminal 200 . have.

ISBN code is attached to each book, and when the user shoots the ISBN code through the camera of the user terminal 200, the corresponding book information is read, and when the user selects and inputs activity information corresponding to the book information, the server (100) collects book information and activity information together.

If the book information is not attached with the ISBN code, direct input is possible.

In another embodiment, the server 100 may collect diary information written by the subject and corresponding activity information together, and conversation information with the subject through an artificial intelligence speaker or user terminal 200 together with activity information. can also be collected.

Through such diary information or conversation information, it is possible to obtain information related to 'what did you do today?' and 'what did you like best?'

On the other hand, in an embodiment of the present invention, the photo or image taken by the camera may be a photo or image taken directly using the user terminal 200, and the server 100 automatically collects the SNS activity by tracking it. it may be In addition, by tracking the activity of the subject's SNS friend, the subject's daily activities or the activity of a friend or acquaintance within the reference group to which the subject mainly belongs may be used as data for analysis.

On the other hand, in the present invention, when there are a plurality of subjects, activity information for a plurality of subjects can be separately managed.

That is, when there are a plurality of subjects, the activity information corresponding to the plurality of subjects collected through the user terminal 210 of the first user having talent management authority for the plurality of subjects may be stored separately for each subject.

In another embodiment, the activity information corresponding to the subject collected through the user terminal 220 of the second user having talent management authority for the individual subject is an area corresponding to the individual subject among the areas that are stored separately for each subject. can be accumulated and stored in

For example, when the teacher collects activity information from subjects A to E, the user terminal 210 of the teacher may classify subjects A, B, C, D, and E for each folder and store them. These may be automatically identified through a learning process to be described later, may be automatically identified using a face recognition function, etc., or may be manually classified and stored by a teacher.

Activity information stored by the teacher is accumulated and stored in the user terminal 220 of the parent of the subject A, and the activity information of the subject A recorded through the user terminal 220 of the parent is also accumulated in the user terminal 210 of the teacher. to be saved

At this time, the user terminal 200 of parents and teachers automatically generates the recording date and time, the recording subject, the place, and the like, so that it is possible to check when, where, and by whom the activity information was generated.

That is, one embodiment of the present invention is based on the accumulation and recording of the subject's activity information in each of the first and second user terminals 200 , but in the first and second user terminals 200 according to the embodiment. The activity information that is accumulated and stored may be simultaneously accumulated and stored based on the target.

Next, the server 100 matches one or more talent categories corresponding to activity information among a plurality of talent categories prepared in advance (S120).

Figure 4 shows a talent category in an embodiment of the present invention, Figure 5 is a view for explaining the content of matching the activity information and talent category.

The talent category consists of human-friendly intelligence, language intelligence, logical and mathematical intelligence, physical and motor intelligence, musical intelligence, spatial intelligence, natural intelligence, and self-reflection intelligence.

The server 100 may match the collected activity information to one or more of the eight talent categories. If, if the activity information matches a plurality of talent categories, it may be matched to the talent category by assigning weights.

For example, when a child collects activity information for writing and composing nursery rhymes, the server 100 may match them to talent categories corresponding to 'music intelligence' and 'language intelligence'.

Next, the server 100 allocates hash tag information indicating the degree of interest and performance for the activity information matched with the talent category (S130).

In one embodiment, the hashtag information is to digitize and record interest information indicating what the subject likes and performance information indicating what they are good at.

In the present invention, interest information and performance information are divided into 1 to 5 points, respectively, and can be recorded in a hash tag type, and interest information and performance information are integrated so that the highest 7 points to the lowest 1 points are given. can be

For example, if a teacher or a parent takes a picture or an image of a subject playing the piano using the user terminal 200 and selects and inputs 'play piano' as activity information, the server 100 may 'play the piano' 'Performance' activity information will be matched to the 'music intelligence' talent category. After the selection of activity information, the server 100 provides the matching result with the talent category to the user terminal 200, and requests the teachers or parents to allocate hash tag information. When a teacher or a parent assigns a score of 6 points as hash tag information for activity information on piano performance, the server 100 allocates and stores hash tag information for activity information matched with a talent category.

On the other hand, an embodiment of the present invention by giving continuous weight to the hash tag information, it is possible to generate a more accurate target's talent prediction result.

That is, as shown in FIG. 6, the server 100 allocates and manages activity information and hash tag information for each talent category. At this time, the server 100 may give a preset continuous weight when the activity information of the target is continuously collected within one talent category.

For example, when the hash tag information for the first activity information in talent category A is assigned as 5 points, and the hashtag information for the second activity information continuous to the first activity information is assigned as 4 points, the first In the case of the second activity information continuous to the activity information, it can be seen that the subject is more interested or more focused on the corresponding talent category. In this case, a predetermined continuous weight can be given to the second activity information. .

The continuous weight may be set so that a larger weight value can be given as the number of consecutive weights increases.

Conversely, if the second activity information is not collected for a predetermined time (t) after the first activity information is started, it can be seen that the subject does not feel interest or cannot focus on the talent category, in this case A reduction weight may be applied to the entire talent category, or a reduction weight may be applied to the second activity information that follows after a predetermined time.

At this time, the continuous weight or reduced weight may be determined based on the reliability required in the talent prediction result, and if a more accurate talent prediction result is required, the application range of the weight may be lowered, and the distinction between talent categories is easy and rough talent Large weights can be applied when prediction results are required.

Through the divisional application of these weights, an embodiment of the present invention can enable the subject's talent prediction result to be more clearly derived.

Meanwhile, an embodiment of the present invention may generate learning data and learn and apply an artificial intelligence algorithm based thereon.

Specifically, the server 100 may prepare a photo or video and activity information collected through a selection input as big data-based learning data, and use the prepared learning data to learn an artificial intelligence algorithm. In this case, various learning methods such as deep learning, machine learning, and neural network-based learning may be applied as a learning method for learning an artificial intelligence algorithm, and it is not particularly limited to any one.

In this case, the server 100 determines whether or not to use this as an analysis target when the subject makes a certain expression in a situation where he/she is carrying out specific activity information, and determines the degree of emotion shown in the expression by the part of the expression (for example, , changes in the muscles around the nose, changes in the muscles around the eyes, changes in the muscles around the mouth, etc.) can be detected and judged, and an artificial intelligence algorithm can be trained based on this.

Through the artificial intelligence algorithm learned through such a learning process, the present invention automatically selects any one of the activity information included in the activity information list corresponding to the picture or image taken using the camera of the user terminal 200 can be input.

That is, it is sufficient for a teacher or a parent to take a picture or an image of the subject, and the server 100 can manage it by adding activity information thereto.

Furthermore, as described above, the artificial intelligence algorithm may classify and manage a plurality of subjects through a face recognition technique.

In addition, according to an embodiment of the present invention, allocation information of hash tag information indicating interest and performance may be prepared as learning data.

Accordingly, the server 100 may automatically allocate hash tag information indicating the degree of interest and performance for the talent category corresponding to the activity information through the learned artificial intelligence algorithm.

As such, in one embodiment of the present invention, a teacher or parent automatically generates activity information just by photographing a subject using the user terminal 200, matches the talent category corresponding thereto, and provides hash tag information. can be assigned

The server 100 collects each continuously generated information in this way and prepares it as learning data, and then learns an artificial intelligence algorithm according to a preset period to continuously improve the accuracy and reliability of the talent prediction result.

Next, the server 100 generates a talent prediction result of the subject based on the collection result of the activity information and hash tag information for a certain period (S140).

In one embodiment, the server 100 may be averaged by summing the hash tag information allocated to each talent category accumulated for a certain period of time. In addition, a result corresponding to the talent category having the largest averaged result value may be provided as a talent prediction result.

In this process, the server 100 may generate a more accurate or clear talent prediction result by summing and averaging based on the result of applying the above-mentioned weight.

In addition, the server 100 may continuously collect the target's talent prediction results to automatically generate a talent portfolio book. This talent portfolio book is a comprehensive analysis report that continuously collects the talent prediction results for each subject and reports the results for each analysis as well as the analysis results report based on the change in the analysis results over time. As an example, the portfolio book may be generated as a pdf version, but is not limited thereto.

7 shows a talent portfolio book generated based on the talent prediction result, the server 100 may generate a talent portfolio book by dividing by year, quarter, and grade. These talent portfolio books are stored in the digital bookshelf of the user terminal 200, and parents or teachers can check the target's talent prediction results through the accumulated and managed talent portfolio books.

Specifically, according to an embodiment of the present invention, it is possible to automatically create and provide four types of portfolio books.

In one embodiment, the activity information is collected by taking a picture or video of the subject through the first user terminal 210, which is the teacher terminal, and the level of interest in the activity information manually or automatically based on an artificial intelligence algorithm by the teacher And when a hashtag is assigned based on performance, it is possible to automatically create a portfolio book in consideration of the matching result with the talent category.

Such a portfolio book is generated based on activity information collected by a teacher terminal in a daycare center or kindergarten. The teacher runs the pre-installed application of the first user terminal 210 (this is referred to as 'ilog school' in the present invention), and when the teacher logs into 'ilog school' with the teacher's account, activity information for each subject is collected, matching results with talent categories are generated, and a portfolio book is automatically created for each subject every semester or grade based on activity information (photo or video) with high priority among the matching results.

In another embodiment, the activity information is collected by taking a photo or video of the subject through the second user terminal 220, which is a parent terminal, and the level of interest in the activity information manually or automatically based on an artificial intelligence algorithm by the parent. And when a hashtag is assigned based on performance, it is possible to automatically create a portfolio book in consideration of the matching result with the talent category.

The parent executes the pre-installed application of the second user terminal 220 (referred to as 'ilog home' to distinguish them in the present invention) and logs into 'ilog home' with the parent account, Activity information is accumulated, and matching results with talent categories are generated, and a portfolio book is automatically created for each subject every month or every year based on activity information (photo or video) with high priority among the matching results. .

In another embodiment, the teacher or the parent uses the first and second user terminals 200 based on the activity information collected in amusement parks, kids cafes, parks, etc. (this is referred to as a park in the present invention) to create a portfolio book. When the first and second user terminals 200 run the pre-installed application (in the present invention, it is referred to as 'ilog park' to distinguish them), and collect activity information in the park, matching with the talent category Results are generated, and a portfolio book is automatically created for each subject every month or every year based on activity information (photo or video) with high priority among the matching results.

At this time, in the case of 'I-Log Park', it is possible to automatically determine whether or not the park is located on the basis of the current location information of the first and second user terminals 200 after storing park information for the whole country in advance. have. For example, even if the teacher logs in as 'Ilog School' and the parents log in as 'Ilog Home', if it is determined that they are located in the park based on the location information, it is automatically converted to the 'Ilog Park' application and Activity information collected in 'I-Log School' and 'I-Log Home' can be accumulated to be differentiated from the collected activity information. Alternatively, when the subject and the user terminal 200 stay for more than a predetermined time, the activity information being collected in 'Ilog Park' may be automatically switched and collected. If you stay in a park close to your house or in a place that is not classified as a park for a while, it may be difficult to see that you have been active in the park.

Alternatively, teachers or parents can manually select whether or not to collect activity information by switching to 'Ilog Park'. Activity information can be classified and collected according to various situations.

As such, the activity information and talent category matching results collected through applications corresponding to 'I-Log School', 'I-Log Home', and 'I-Lok Park' will be processed and provided as a portfolio book corresponding to the 'I-Log Calendar'. can 'I-Log Calendar' displays the activity information with the highest interest and performance for a certain period, such as monthly and quarterly, among the portfolio book results corresponding to 'I-Log School', 'I-Log Home', and 'I-Log Park'. It is a portfolio book automatically generated by the server 100 recommendation.

At this time, the server 100 may provide the teacher or the parent with the talent category matching result corresponding to the plurality of candidate activity information according to the priority, and the teacher or the parent confirms this through the user terminal 200, and then the candidate activity It is also possible to confirm that the portfolio book is automatically created according to the information, or by changing it to the activity information corresponding to the next priority.

In addition, the server 100 may share the target's talent prediction result with a user who has talent management authority for the target or an acquaintance of the user, and may link a mentor based on the target's talent prediction result.

That is, when the talent prediction result is generated according to the above-described method, the subject's talent-related talent portfolio book is configured, and the mentor is linked, so that a systematic talent development process can be performed. In addition, by sharing the talent prediction result with emotionally close family and acquaintances, the target can become aware of the talent expressed through natural interaction, receive the recognition and support of the people around him, and grow himself in a positively friendly atmosphere. support to

8 is a view for explaining the mentor support service and supporters service, the server 100 is in connection with expert groups such as the Korean Society for Early Childhood Education, the Warm Education Community Research Sensor, the Korean Academy of Pediatrics, and an education company, or individual experts We collect information, find a mentor that is necessary and suitable for each subject, and link it with each subject.

For example, when the server 100 discovers a candidate mentor(s) suitable for a certain target from the mentor pool, it delivers the target's talent portfolio book to the candidate manto(s) to check whether the mentor has been accepted, and the accepted mentor(s) ) and the relevant person to form a contact channel. After being linked, the results of periodic or intermittent analysis of the subject are directly delivered to the mentor, and the mentor's advice is fed back to the subject.

The server 100 may receive advice from a mentor and include it in the talent portfolio book.

In addition, the server 100 may provide the talent prediction result to family members, friends, acquaintances, etc. who may be supporters of the subject, as shown in FIG. 8, or to a person designated by the subject. Specifically, it provides talent prediction results to family, friends, and acquaintances' smartphones, PCs, and e-mail accounts.

The server 100 may share not only the talent prediction results, but also the daily aspects of the subjects. When supporters who have shared the subject's talent prediction results and/or daily life give feedback to the subject, the subject feels emotionally connected, has a more positive mindset, and recognizes his or her talents more clearly through praise, etc. and have a tendency to develop themselves.

In one embodiment, the present invention provides a guide including reading, play, and travel guides to support the formation of dreams and visions of subjects, and in addition to providing guides of various items helpful in forming dreams and visions can do.

9 to 12 show an example of providing a customized service based on the talent prediction result, the server 100 recommends a book suitable for the target based on the talent prediction result, or play (hobbies, toys, etc.) ) or for travel (including experiential learning). Through this, an embodiment of the present invention allows the subject to specifically form their own dream and supports the formation of a vision throughout life.

At this time, the server 100 may collect log information and feedback information related to the recommended book, play, and travel, and learn it together with the talent prediction result to provide a more optimized customized service to the target. have.

On the other hand, it is preferable to continuously collect the reaction of the subject according to reading, play activity, travel, etc. according to the guide of the server 100 through the user terminal 200 according to the present invention, and collect and analyze it as big data data.

12 , an embodiment of the present invention may support career design of a subject based on a talent prediction result. The server 100 recommends a job field related to the talent expressed based on the accumulated individual talent prediction result. Preferably, it is recommended to predict and consider the changes in technology, culture, politics, and industry in the era in which the subject will be mainly active. More preferably, considering the results of analyzing the talent-related big data of the present time by collecting the talent prediction results of several subjects, the occupational field is recommended in consideration of the relative talents of the subjects.

13 is a diagram for explaining a method of simulating a mock entrance exam in consideration of a subject's talent according to an embodiment of the present invention.

Referring to FIG. 13 , an embodiment of the present invention may provide appropriate college information to a subject based on a talent prediction result, and may provide a mock entrance exam simulation for this.

The server 100 receives desired universities and desired departments for a plurality of subjects based on a predetermined time point. As an example, a desired university and desired department are inputted through the user terminal 200 corresponding to each subject based on the end of one semester or the end of one academic year.

In this case, the server 100 may provide, in real time, a competition rate supported by a plurality of subjects for each desired university and desired department based on a predetermined time point.

For example, the parent can check the competition rate of department a in University A and confirm that the department in the university is popular among parents.

In addition, the server 100 may provide a talent prediction result corresponding to the target based on a predetermined time point, and at least one recommended university and recommended department matching the talent prediction result may be provided to the user terminal 200 have. These parents or teachers can select and input a desired university and desired department from among the recommended universities and recommended departments.

Next, the server 100 determines whether the talent category and the talent prediction result corresponding to the input desired department match, and provides a simulated passing result of the desired university and the desired department based on the determination result.

This is not to allow parents to simply apply to the desired university, but to provide a guide for parents to apply to the university and department that matches the talent prediction result considering the talent of the target.

Therefore, the mock pass result may provide a mock pass result by judging only whether the subject's talent prediction result matches the talent category corresponding to the department of the university.

However, the embodiment in which the mock pass result is provided is not necessarily limited thereto, and the simulated pass result according to the actual competition rate by comprehensively considering the hash tag information according to the above-mentioned level of interest and performance and information on the number of times activity information is generated. may also provide

One embodiment of the present invention described above may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium.

The above-mentioned program, in order for the computer to read the program and execute the methods implemented as a program, C, C++, JAVA, Ruby, which the processor (CPU) of the computer can read through the device interface of the computer; It may include code coded in a computer language such as machine language. Such code may include functional code related to a function defining functions necessary for executing the methods, etc., and includes an execution procedure related control code necessary for the processor of the computer to execute the functions according to a predetermined procedure. can do. In addition, this code may further include additional information necessary for the processor of the computer to execute the functions or code related to memory reference for which location (address address) in the internal or external memory of the computer should be referenced. have. In addition, when the processor of the computer needs to communicate with any other computer or server located remotely in order to execute the functions, the code uses the communication module of the computer to determine how to communicate with any other computer or server remotely. It may further include a communication-related code for whether to communicate and what information or media to transmit and receive during communication.

The storage medium is not a medium that stores data for a short moment, such as a register, a cache, a memory, etc., but a medium that stores data semi-permanently and can be read by a device. Specifically, examples of the storage medium include, but are not limited to, ROM, RAM, CD-ROM, magnetic tape, floppy disk, and an optical data storage device. That is, the program may be stored in various recording media on various servers accessible by the computer or in various recording media on the computer of the user. In addition, the medium may be distributed in a computer system connected to a network, and a computer-readable code may be stored in a distributed manner.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

1: Target talent prediction and management system
100: target talent prediction and management server
200: user terminal

Claims (9)

In a method for predicting and managing a subject's talent using an application pre-installed on a user terminal,
collecting activity information of a subject through a predetermined user terminal;
Matching one or more talent categories corresponding to the activity information among a plurality of talent categories prepared in advance;
allocating hash tag information indicating the degree of interest and performance for the activity information matched with the talent category; and
Comprising the step of generating a talent prediction result of the subject based on the collection result of the activity information and hash tag information for a certain period of time,
Methods for predicting and managing the talents of subjects.
According to claim 1,
The step of collecting activity information of the subject through the predetermined user terminal,
Collecting the activity information through a selection input of any one of the activity information included in the activity information list corresponding to the photo or image taken using the camera of the user terminal,
The user terminal will be a terminal of at least one user with a talent management authority for the subject,
Methods for predicting and managing the talents of subjects.
3. The method of claim 2,
preparing the activity information collected through the photo or video and selection input as learning data; and
Further comprising the step of learning an artificial intelligence algorithm using the learning data,
The step of collecting activity information of the subject through the predetermined user terminal,
Which one of the activity information included in the activity information list corresponding to the photo or image taken using the camera of the user terminal is automatically selected and input through the learned artificial intelligence algorithm to collect the activity information,
Methods for predicting and managing the talents of subjects.
4. The method of claim 3,
The step of preparing the activity information collected through the photo or video and selection input as learning data,
and preparing allocation information of hash tag information indicating the degree of interest and performance as the learning data,
Allocating hash tag information indicating the degree of interest and performance for the activity information matched with the talent category comprises:
Is to automatically allocate hash tag information indicating the degree of interest and performance for the talent category corresponding to the activity information through the learned artificial intelligence algorithm,
Methods for predicting and managing the talents of subjects.
3. The method of claim 2,
The step of collecting the activity information of the subject through the predetermined user terminal,
If the subject is a plurality, the activity information corresponding to the plurality of subjects collected through the user terminal of the first user having talent management authority for the plurality of subjects is stored separately for each subject,
Activity information corresponding to the subject collected through the user terminal of the second user having talent management authority for the individual subject is accumulated and stored in the area corresponding to the individual subject among the areas divided and stored for each subject,
Methods for predicting and managing the talents of subjects.
According to claim 1,
The step of collecting activity information of the subject through the predetermined user terminal,
Collecting the activity information through a selection input of any one of the activity information included in the activity information list corresponding to at least one of book information, diary information, and conversation information read by the subject input through the user terminal,
Methods for predicting and managing the talents of subjects.
According to claim 1,
The step of generating the talent prediction result of the subject based on the collection result of the activity information and hash tag information for the predetermined period,
summing up and averaging the hash tag information allocated to each talent category accumulated over the predetermined period; and
Comprising the step of providing a result corresponding to the talent category with the highest averaged result value as the talent prediction result,
Methods for predicting and managing the talents of subjects.
According to claim 1,
The step of generating the talent prediction result of the subject based on the collection result of the activity information and hash tag information for the predetermined period,
Generating a talent portfolio book by continuously collecting the subject's talent prediction results, and sharing the subject's talent prediction results with a user having a talent management right for the subject or an acquaintance of the user, the subject Further comprising at least one of the steps of linking mentors based on the talent prediction results of
Methods for predicting and managing the talents of subjects.
A computer program stored in a computer-readable recording medium in order to execute a method for predicting and managing the talent of a subject according to any one of claims 1 to 8 in combination with a computer.

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