PATENT BY THIMMAIAHBC

1. 1
FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
AND
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
Title of Invention:
“DEEP LEARNING AND COMPUTATIONAL STATISTICS BASED
APPROACH FOR EFFECTIVE DECISION MAKING ON STUDENT'S
EMPLOYMENT DURING COVID 19”
NAME OF APPLICANT NATIONALITY ADDRESS
DR. BIPIN KUMAR SRIVASTAVA INDIAN
ASSOCIATE PROFESSOR,
GALGOTIAS COLLEGE OF
ENGINEERING AND
TECHNOLOGY, GREATER
NOIDA-201306
VIRENDRA KUMAR VERMA INDIAN
DIRECTOR, SUSTAINPLANET
INDIA PRIVATE LIMITED,
THANE, MAHARASHTRA-
401107, INDIA
S. NITHYANANDAM INDIAN
PROFESSOR, DEPARTMENT OF
CSE, P.R.ENGINEERING
COLLEGE(PRIST), VALLAM,
THANJAVUR-613403.
DR. ABHISHEK INDIAN
ASSISTANT PROFESSOR,BABA
MASTNATH UNIVER,ROHTAK
124021
PROF. SAURABH SHARMA INDIAN
GLOBAL NATURE CARE
SANGATHAN'S GROUP OF
INSTITUTIONS, FACULTY OF
ENGINEERING AND
MANAGEMENT (AFFILIATED
TO RGPV BHOPAL, RDVV
JABALPUR) ADDRESS:
GLOBAL SQUARE, PATAN
BYPASS, RAIGWAN,
JABALPUR, MADHYA
PRADESH 482002
DR VIJAYA CHALAMCHERLA INDIAN
ASSOCIATE PROFESSOR,
DEPARTMENT OF MARINE
BIOLOGY, VIKRAMA
SIMHAPURI UNIVERSITY,

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NELLORE-524324
THULASIMANI T INDIAN
ASSISTANT PROFESSOR,
DEPARTMENT OF
MATHEMATICS, BANNARI
AMMAN INSTITUTE OF
TECHNOLOGY,
SATHYAMANGALAM - 638401.
DR BHOLA KHAN INDIAN
ASSOCIATE PROFESSOR,
DEPARTMENT OF
ECONOMICS, YOBE STATE
UNIVERSITY, DAMATURU,
1144
SONU KUMAR INDIAN
POST DOCTORAL RESEARCH
FELLOW, DEPARTMENT OF
ELECTRONICS AND
COMMUNICATION
ENGINEERING, KONERU
LAKSHMAIAH EDUCATION
FOUNDATION (K L DEEMED
TO BE UNIVERSITY),
VADDESWARAM, GUNTUR,
ANDHRA PRADESH-522502
DR.SHITAL J SONUNE INDIAN
LECTURER, DEPARTMENT OF
PROSTHETIC DENTAL
SCIENCE COLLEGE OF
DENTISTRY JOUF UNIVERSITY
SAKAKA 72346
ASHWINI KUMAR SAINI INDIAN
CSED GBPIET PAURI
GARHWAL UTTARAKHAND
DR . THIMMAIAH BAYAVANDA
CHINNAPPA
INDIAN
PROFESSOR , IVANE
JAVANKISHI TBILISI STATE
UNIVERSITY , GEORGIA
The following specification describes the invention and the manner in which it is to be
performed.

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FIELD OF INVENTION
The present invention relates to the field of designing & implementing a framework of
Deep Learning techniques for effective decision on student’s employment during
COVID-19. The computational statistics are used for betterment in analysis of
employment data.
BACKGROUND OF INVENTION
[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] Employment is an important part of the economic, social and
environmental development process and procedure of any country.
Employment provides financial freedom and decision making power.
Employment opportunities for citizens in India can help to reduce corruption,
remove terrorism etc.
[0003] A number of different types of employment analysis 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] Artificial Intelligence and COVID-19: Deep Learning Approaches for
Diagnosis and Treatment COVID-19 outbreak has put the whole world in an
unprecedented difficult situation bringing life around the world to a frightening

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halt and claiming thousands of lives. Due to COVID-19’s spread in 212
countries and territories and increasing numbers of infected cases and death
tolls mounting to 5,212,172 and 334,915 (as of May 22 2020), it remains a real
threat to the public health system. This paper renders a response to combat the
virus through Artificial Intelligence (AI). Some Deep Learning (DL) methods
have been illustrated to reach this goal, including Generative Adversarial
Networks (GANs), Extreme Learning Machine (ELM), and Long/Short Term
Memory (LSTM). It delineates an integrated bioinformatics approach in which
different aspects of information from a continuum of structured and
unstructured data sources are put together to form the user-friendly platforms
for physicians and researchers. The main advantage of these AI-based
platforms is to accelerate the process of diagnosis and treatment of the
COVID-19 disease. The most recent related publications and medical reports
were investigated with the purpose of choosing inputs and targets of the
network that could facilitate reaching a reliable Artificial Neural Network-
based tool for challenges associated with COVID-19. Furthermore, there are
some specific inputs for each platform, including various forms of the data,
such as clinical data and medical imaging which can improve the performance
of the introduced approaches toward the best responses in practical
applications.
[0005] The COVID-19 pandemic has triggered one of the worst jobs crises
since the great depression. The impact is that the crisis will increase poverty

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and wisdom inequalities that may be experienced for years. The proposed
invention focuses on analyzing the various aspects of employment and its crisis
especially during COVID-19 pandemic.
[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 student employment 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 student employment system to analyze the
state of employment during covid 19 pandemic 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 student employment management 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 system to analyse the situation of employment
among students during covid 19 pandemic that has all the advantages of the
prior art and none of the disadvantages.

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[0009] The Main objective is the proposed invention is to design & implement
a framework of Deep Learning where the employment crisis among the
students is analysed. The computational analysis techniques and statistics are
used for better results.
[0010] Yet another important aspect of the proposed invention is that the
invention aims at analyzing the employment crisis that was struck during
COVID-19 pandemic. The algorithms of Deep Learning and computational
analysis techniques are used to get accurate results. The invention will
revolutionize the employment analysis aspects through its technical
interventions.
[0001] 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.
[0002] 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

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there are illustrated preferred embodiments of the invention.
BREIF DESCRIPTION OF DRAWINGS
[0003] 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 Deep Learning and Computational
statistics-based approach for Effective Decision Making on Student's
employment during Covid 19, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0004] 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.
[0005] While the present invention is described herein by way of example
using several embodiments and illustrative drawings, those skilled in the art

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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

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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.
[0006] 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.
[0007] Work is an important feature in structuring personal and social identity,
family and social bonds, ways of making money and thereby accessing a
number of essential and non-essential goods economically, employment
provides income to poor families, revives domestic demand for goods and
services and stimulates overall growth. Socially, employment can also promote
social Healing, encourage the return of displaced persons and improve social
welfare.
[0008] Unemployment benefit programs plays a vital role in the economy by
protecting workers income after layoff’s, improving their long-run labour
market productivity, and stimulating the economy during recessions. The
proposed invention focuses on implementing the techniques of Deep Learning
to find the factors affecting employment. The invention aims at analyzing

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condition of students, especially during COVID-19.
[0009] 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
[0010] Figure 1 illustrates the block diagram Deep Learning and
Computational statistics-based approach for Effective Decision Making on
Student's employment during Covid 19 100. The proposed system 100 includes
a Database of students seeking employment. The database of students from
various colleges is depicted as 101a, 101b, 101c, 101n and so on. The
computational unit 102 will consider the data from databases 101a, 101b, 101c,
101n and analysis it in data analysis unit 103. The clustering unit 104 will
cluster the data sets. The Deep Learning unit 105 will implement algorithms of
Naive bayes 106 and decision tree 107. The results are stored on Database108.
[0011] 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

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practiced without these specific details. In other instances, structures are shown
in block diagram form only in order to avoid obscuring the present invention.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 20/05/2022

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WE CLAIM
1. Deep Learning and Computational statistics-based approach for Effective
Decision Making on Student's employment during Covid 19 comprises of
deep learning unit;
computational unit;
decision tree algorithm and
data analysis unit.
2. Deep Learning and Computational statistics-based approach for Effective
Decision Making on Student's employment during Covid 19, according to
claim 1, includes a deep learning unit, wherein the deep learning unit will
analyse the student databases from various institutions.
3. Deep Learning and Computational statistics-based approach for Effective
Decision Making on Student's employment during Covid 19, according to
claim 1, includes a computational unit, wherein the computational unit will
analyse the employment strategy and condition during pandemic.
4. Deep Learning and Computational statistics-based approach for Effective
Decision Making on Student's employment during Covid 19, according to
claim 1, includes a decision tree algorithm, wherein the decision tree algorithm

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will predict the hidden factors that are responsible for employment crisis
during pandemic.
5. Deep Learning and Computational statistics-based approach for Effective
Decision Making on Student's employment during Covid 19, according to
claim 1, includes a data analysis unit, wherein the data analysis unit will
predict the data sets of employment exchange.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 20/05/2022

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ABSTRACT
DEEP LEARNING AND COMPUTATIONAL STATISTICS BASED
APPROACH FOR EFFECTIVE DECISION MAKING ON STUDENT'S
EMPLOYMENT DURING COVID 19
Deep Learning and Computational statistics-based approach for Effective Decision
Making on Student's employment during Covid 19 is the proposed invention. The
invention aims at designing a framework of deep learning for analysing the data of
employment during the covid 19 pandemics. The computational statistics to get deeper
knowledge about the employment aspects of students.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 20/05/2022