Claims:1. Machine learning based approach to identify the positive traits of a successful entrepreneur comprises of
database of entrepreneurs;
resultant unit;
cloud server;
machine learning unit and
prediction unit.
2. Machine learning based approach to identify the positive traits of a successful entrepreneur, according to claim 1, includes a database of entrepreneurs, wherein the database will include data related to the entrepreneurs.
3. Machine learning based approach to identify the positive traits of a successful entrepreneur, according to claim 1, includes a resultant unit, wherein the resultant unit will store results pointing out the factors responsible for successful entrepreneur.
4. Machine learning based approach to identify the positive traits of a successful entrepreneur, according to claim 1, includes a cloud server, wherein the cloud server will monitor the database and establishes coordination among various components of the proposed invention.
5. Machine learning based approach to identify the positive traits of a successful entrepreneur, according to claim 1, includes a machine learning unit, wherein the machine learning unit will train the module to identify the positive traits of an entrepreneur.
6. Machine learning based approach to identify the positive traits of a successful entrepreneur, according to claim 1, includes a prediction unit, wherein the prediction unit will predict the characteristics of successful entrepreneur.
, 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] An entrepreneur is an individual who creates a new business, bearing most of the risks and enjoying most of the rewards. The process of setting up a business is known as entrepreneurship. The entrepreneur is commonly seen as an innovator, a source of new ideas goods, services and business or procedures.
[0003] A number of different types of system to identify the successful traits of an entrepreneur 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] Identifying artificial intelligence (AI) invention: a novel AI patent dataset Artificial intelligence (AI) is an area of increasing scholarly and policy interest. To help researchers, policymakers, and the public, this paper describes a novel dataset identifying AI in over 13.2 million patents and pre-grant publications (PGPubs). The dataset, called the Artificial Intelligence Patent Dataset (AIPD), was constructed using machine learning models for each of eight AI component technologies covering areas such as natural language processing, AI hardware, and machine learning. The AIPD contains two data files, one identifying the patents and PGPubs predicted to contain AI and a second file containing the patent documents used to train the machine learning classification models. We also present several evaluation metrics based on manual review by patent examiners with focused expertise in AI, and show that our machine learning approach achieves state-of-the-art performance across existing alternatives in the literature. We believe releasing this dataset will strengthen policy formulation, encourage additional empirical work, and provide researchers with a common base for building empirical knowledge on the determinants and impacts of AI invention.
[0005] Entrepreneurship is the creation or extraction of value. Entrepreneurship is viewed as change, generally entailing risk beyond who is normally encountered in starting a business, which may include other values than simply economic ones. The proposed invention focuses on identifying the significant characteristics of an entrepreneur.
[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 entrepreneurship analysis 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 approach to analyze the positive traits of the entrepreneur 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 entrepreneur systems 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 analysis and suggestive system for entrepreneurs which has all the advantages of the prior art and none of the disadvantages.
[0009] The main objective of the proposed invention is that the machine learning based framework is used to identify the positive traits of a successful entrepreneur. The invention will help the upcoming entrepreneurs to inculcate the characteristics of successful entrepreneur.
[0010] Yet another important aspect of the proposed invention is that the database of entrepreneurs is analyzed using the machine learning unit. The algorithms such as decision tree and precision are used to analyze the characteristics that are essential to become a successful entrepreneur. Thus, the proposed invention will support the building entrepreneurs.
[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 machine learning based approach to identify the positive traits of a successful entrepreneur, 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] An entrepreneur is a person who organizes and operates a business venture and assumes much of the associated risks. Entrepreneurship is the ability and readiness to develop, organize and run a business enterprise, along with any of its uncertainties in order to make a profit.
[0018] Management skills and strong team building abilities are often perceived as essential leadership attributes for successful entrepreneurs. The entrepreneur must be willing to put his or her career and financial security on the line and take risks in the name of idea, spending time as well as capital on an uncertain venture. The proposed invention implements the algorithms of machine learning to identify the positive traits of a successful entrepreneur.
[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 machine learning based approach to identify the positive traits of a successful entrepreneur 100. The proposed system 100 includes database of entrepreneurs 101 to be fed into machine learning unit 102 as input. The output of machine learning unit is analyzed by predictive unit 103 and results are stored on resultant unit 104. All are communications and coordination’s take place over the cloud server 105.
[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.