Claims:Machine learning based HR automation technique for better functioning of an organization is the proposed invention. The invention focuses on integrating machine learning to human resource management to automate and save time in various activities of human resource department. The proposed invention will revolutionize the human resource automation techniques by addressing the flaws inherent in the existing system. , Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Human resource management system is the form of human resource software that combines a number of systems and processes to ensure the easy management of human resource, business processes and data. A human resources management system will ensure that everyday human resources processes are manageable and easy to access. The automated human resource tools will allow human resource professionals to move away from traditional administrative work and have inserted them as strategic assets to company.
[0003] A number of different types of HR automation systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] US20120016678A1 An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.
[0005] Human resource automation uses software to digitize and automate repetitive and time-consuming risks including employee onboarding administration, payroll, time keeping and benefits administration. There is a need for automating the activities of human resource management system so that the human resource department can concentrate on more important tasks rather than spending time on trivial issues. The proposed invention provides an automated human resource system using machine learning technique.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of HR automation systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Machine learning based HR automation technique that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of HR automation techniques now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved HR automation technique for better functioning of an organization which has all the advantages of the prior art and none of the disadvantages.
[0009] The main objective of the proposed invention is to integrate the machine learning techniques to human resource automation software. The aim is to improve the overall efficacy of automated human resource management tools.
[0010] Yet another important aspect of the proposed invention is that the activities and decision of human resource for various situations are stored on a database. These data are scrutinized using machine learning algorithms. The algorithms that are used for the purpose are predictive and classification algorithms. The output of these system for automating the activities of human resource.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BREIF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the block diagram of a machine learning based HR automation technique for better functioning of an organization, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one” and the word “plurality” means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of”, "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] Automation reduces time, effort and cost while reducing manual errors, giving business more time to focuses on primary objectives rather that wasting time on repetitive tasks. Automating processes ensures high quality results as each task is performed identically. There is lot of repetitive tasks involved in the department of human resource management.
[0018] There is a need for automating the activities of human resource department using technology. Thus, the proposed invention integrated human resource activities with machine learning techniques for achieving better efficacy in the organizational management activities. The proposed invention will give inputs to bury activity of human resource department with the purpose of automating them.

[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1

[0020] Figure 1 illustrates the block diagram of a machine learning based HR automation technique for better functioning of an organization 100. The activities of human resource department are observed through human resource unit 101. The machine learning unit 102 runs machine learning algorithms for the purpose of analysis and prediction. The decision-making unit 103 will automate the processes of various activities of human resource department.

[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.