ARTIFICIAL INTELLIGENCE DRIVEN STUDENT PLACEMENT PREDICTION AND SKILL RECOMMENDATION SYSTEM USING DEEP LEARNING

Abstract

Artificial intelligence driven student placement prediction and skill recommendation system using deep learning is the proposed invention. The proposed invention focuses on understanding the functions of skill recommendation system. The invention focuses on analyzing the parameters of student placement using artificial intelligence driven approach

Specification

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] Artificial intelligence is a technology that enables machines to perform tasks that require human like intelligence. Artificial intelligence system learns and improve by analyzing large amounts as data. They can identify patterns and relationships that humans might miss.
[0003] A number of different types of sustainable agricultural development practices 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] US20060166174A1: System and methods for predicting and dynamically adapting the most appropriate content and teaching strategies that aid individual student learning. System and methods are based on a cognitive model that integrates new information with what the student already knows. A program of study is predicted by the unique cognitive needs of the individual student correlated with aggregated student data history using an Artificial Intelligence Engine (AI Engine). Said system and methods then dynamically adapt the initial cognitive model to the student's ongoing progress using personalized software Agents. Said system and methods include a computer network that incorporates a server-side AI Engine and a collection of client-side software Agents embodied as animated characters. The program connects new information to prior knowledge and then strengthens these connections through dedicated learning Activities, customized to the student, to ensure that effective, and real, learning occurs.
[0005] A student placement prediction is a system that uses machine learning to estimate a student's likelihood of getting placed in a company. It can help students understand their clones of getting placed. The proposed invention focuses on analyzing the student placement using destinations of artificial intelligence approach.
[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 sustainable agricultural development practices 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 integrated with genetic innovations to achieve sustainable agricultural practices 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 sustainable agricultural development practices 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 Machine learning based approach integrated with genetic innovations to achieve sustainable agricultural practices which has all the advantages of the prior art and none of the disadvantages.
[0009] The main objective of the proposed invention is o design and implement a framework of artificial intelligence driven approach for analyzing the student placement skill recommendation system is analyzed.
[0010] Yet another important aspect of the proposed invention is to design and implementing framework of artificial intelligence driven understanding situation of skill recommendation system. Artificial intelligence driven student placements prediction is analyzed by predictive unit.
[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.
BRIEF 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 schematic view of artificial intelligence driven student placement prediction and skill recommendation system using deep learning, 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] Deep learning is a type as machine learning that uses artificial neural networks to teach computers to process data and make decisions based on human brain. The term "deep learning" refers to the use of multiple layers in the network which can range from three to thousands.
[0018] Skill recommendation system makes accurate predictions by using machine learning models to look for similarities between job descriptions and competencies Any candidate can use this application to learn more about their idea jobs and to develop both their soft skills and their skills. The proposed invention focuses on understanding the functions of skill recommendation system using algorithms of deep learning.
[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 schematic view of artificial intelligence driven student placement prediction and skill recommendation system using deep learning 100. The proposed invention 100 includes students 101 who are analyzed for their skills using analysis unit 103. The placement unit 102 will take details of students 101 and send it to analysis unit 103. The database 104 will send the skill set of students 101 to predict their possibility of getting placed. The deep learning unit 105 will run predictive algorithm 106 and sends it to the placement unit 102 such that the student's skill can be improved accordingly.
[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.
, Claims:1. Artificial intelligence driven student placement prediction and skill recommendation system using deep learning, comprises of:
Placement unit;
Deep learning unit and
Predictive unit.
2. Artificial intelligence driven student placement prediction and skill recommendation system using deep learning, according to claim 1, includes a placement unit, wherein the placement unit will take details of students and send it to analysis unit.
3. Artificial intelligence driven student placement prediction and skill recommendation system using deep learning, according to claim 1, includes a deep learning unit, wherein the deep learning unit will run predictive unit.
4. Artificial intelligence driven student placement prediction and skill recommendation system using deep learning, according to claim 1, includes a predictive unit, wherein the predictive unit sends it to the placement unit such that the student's skill can be improved accordingly.

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