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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 225
Training and Placement Portal
Dr. Ram Joshi1, Mrinal Chaudhari2, Pratiksha Gaikwad3, Savani Kadam4, Sheetal Kanthale5
1Dept. of Information Technology, JSPM's RSCOE, Tathawade, Pune.
2345(Student, Dept. of Information Technology, JSPM's RSCOE , Tathawade, Pune.)
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The software for the training and placement cell
of a college is a need for the students and the institute
management for the purpose of proper placement and
training of the students of the institute. It helps the studentsto
provide their profiles to the training and placement cell of the
institute, update their respective profiles with their gradual
approach towards course end). Also helpful to get to know
about the companies coming for the on campus/off
campus/pool/group pool categories of campus interviews.
Also used get to know about tests conducted by the HR..
Key Words: SVM (Support Vector Machine), Training,
Placement
1. INTRODUCTION
The earlier system wasnotcomputerized, transactionsin the
previous system were done manually by maintaining
records. It takes much time for a placement officer to collect
and approve the details of students. There is poor
communication between students and placement officer.
Students may not obtain the desired information. It is
difficult to coordinate students, companies, and interviews.
The proposed system is a web-basedapplication.Thesystem
allows students to access detailsofrecruitments.Thesystem
allows students to access any material posted by various
departments. Recruiters can access the student details. It is
easy for one to access desired information through the well-
defined interfaces. For the purpose of training and
placement of the Students.
This application will perform various tasks for student
administrative authority. This project helps a better student
support and time-saving factor. The various types of reports
will be available quickly without any effort.
Training and placement provide infrastructural facility to
conduct the group discussion. This project is aimed at
developing a web portal for training and placement.
Campus placements are conducted in all colleges for all the
education fields. Various software and other sector
companies are conducting campus recruitment process for
selecting candidates. Whencampusselectionsareconducted
in colleges the students have to provide their curriculum
vitae to the concern TPO officer for attending the campus
interviews. This routine process is maintained manually.
Many colleges have automated system but have some
limitations. Students uploaded their CVs early in the year,
leaving them as it is in time. Lists were produced for each
company based on the present information.Studentshaveto
check their mail regularly. Searching is done based on the
company criteria and requirement. The student will get
notify rough mailing only.
The students were not being made aware of the T&P activity
other than placements. The information like company
technical question paper, Resume Format, Jobdetailsare not
available to the student. There wasnorecordkeptofthepast
students and their working status. There was less
communication between the student with the Training and
Placement department. So that this can be improved by
designing Advanced software.
2. RELATED WORK
Teacher recruitment and placement should be based on the
needs of the particular educational institution. It should not
only be based on the teacher's rank but should also be based
on several criteria such as teaching experience, educational
background, major, and subject the teacher is capable to
teach. If a teacher were recruited based on the need of the
educational institution, it would be a factorthatsupportsthe
success of the educational program in that region. The AHP
Method is developed, it is a decision-making method which
takes into account one's privacy or preference values by
putting priority score in the form of matrix criteria,
computing the choices, and obtaining the percentageofeach
choices.
The best choice is the priority score with the highest
percentage. [1]The popularity AHP in decision making
approach is creating multi-criteria decision-making(MCDM)
that involves qualitative data. The method uses a reciprocal
decision matrix obtained by pair wise comparisons so that
the information is given in a linguistic form. In the pair wise
comparison method, criteria and alternatives are presented
in pairs of one or more referees (e.g. experts or decision
makers). Using AHP method improves credibilityofdecision
making . Process of decision making by comparing criteria
with other can guarantee the result decision. AHP
methodology can used for individual competencies by
comparing the current key competencies rankings with
results from last year to see if their have beenanychanges in
the rankings as a result of changesinthecompany’sstrategy.
The concept shows the suitability in applying each strategy
under different degrees influenced by the factors tested.
Analytic Hierarchy Process (AHP) helps decision maker to
create a ranking by concerning the critical aspect. The AHP
[3][4], also uses a principle of hierarchic composition to
derive composite priorities of alternatives with respect to
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 226
multiple criteria from their priorities with respect to each
criterion. It consists of multiplying each priority of an
alternative by the priority of its corresponding criterionand
adding over all the criteria to obtain the overall priority of
that alternative.
3. DESIGN AND WORKING
The first step was database design. A complete database
required for the implementation of this project was
designed. The project was designed based on a framework.
Business entities layer: It identifies all the entities used in
the project. Business logic layer: This layer operates on the
business entity to achieve the goals. Data access layer: This
layer serves as an interface between backend and the
services. All modules and user interface was built in this
step. Development was done using Java. The database was
constructed in MySQL.
Fig.1 Architecture diagram for training and placement
portal
The portal’s content structure and working fulfill a number
of basic criteria as follows: Users involved for exploring the
various features, scope, and constraints of the system. This
project is helpful for Student administrative authority
Companies HR, Documentations writers also. Admin/TPO
can register all final year students of various departments
with their academic records marks, attendance etc. Using
SVM Admin evaluates the students based on specific
attributes. Due to this, the Students whohavea goodscorein
specified attributes will appear at the top of the list.
Whenever HR finds any requirementin hiscompany.He will
start the placement drive and mention the respectivedetails
such as a number of vacancies, criteria, CTC. Then HR views
the Students list uploaded by theAdminandSelectsstudents
for the test who get fit into the criteria such as percentage.
Then these selected Students will be sent the test link for
online test. Students answer the questions asked in the test.
Shortlist student and send offer letter Based on the answers
submitted by the students HR displays the result and send
the offer letter to the short-listed students. Studentcanview
companies and their placement drivedetailssuchasnumber
of vacancies, criteria, CTCetc.uploadedbytherespective HR.
Student can appear for online test initiated by HR of any
Company and view the result declared by HR.
3.1 Support Vector Classification Algorithm:
Support vector machine (SVM) proposed by Vapnik and
Cortes have been successfully applied for gender
classification problems by many researchers. An SVM
classifier is a linear classifier where the separating of the
hyper plane is chosen tominimizetheexpectedclassification
error of the unseen test patterns.
SVM is a strong classifier whichcanidentifytwoclasses.SVM
classifies the test image to the class which has the maximum
distance to the closest point in the training.
SVM training algorithm built a model that predicts whether
the test image falls into this class or another. SVM requires a
huge amount of training data to select an effective decision
boundary and computational cost is very high even if we
restrict ourselves to single pose (frontal)detection.TheSVM
is a learning algorithm for classification. It tries to find the
optimal separating of the hyperplane such that the expected
classification error for unseen patterns is minimized.
For linearly non-separable data the input is mapped tohigh-
dimensional feature space where they can be separated bya
hyperplane. This projection into high-dimensional feature
space is efficiently performed by using kernels. More
precisely, given a set of training samples and the
corresponding decision values {-1, 1} the SVM aims to find
the best separating hyperplane given by the equation WT
x+b that maximizes the distance between the two classes.
3.2Modeling For Training And Placement Portal:
Use Case Diagram Training and Placement Portal shown in
Figure 2 consists of four actors. Actors involved in this
System are student ,HR,TPO andAdmin. Thepersonwhowill
need the information to make decisions,particularlyrelated
to students placements.
Fig.2 Use Case Diagram for training and Placement portal
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 227
4. CONCLUSIONS
This system can be use as an application for college to
manage the student information concerning placement. It
also helps company coming for campus recruitment to see
student details. Before coming for campus, company can get
information about eligible students along with interested
students. This web portal will perform various tasks for
student administrative authority. This web portal helps the
student for better support and time saving factor. The
various types of reports will beavailablequickly without any
efforts, it also reduces the work pressure of the T&P cell
staffs.
REFERENCES
[1] Saaty, L Thomas , Decision-making withtheAHP:Whyis
the principal eigenvector necessary, Eu ropean Journal
of Operational Research , page 85–91, Elsevier Science
B.V.
[2] Alonso, Jose Antonio and M Teresa Lamata ,Consistency
In The Analytical Hierarchy , International Journal of
Uncertainty, Fuzziness and Knowledge-Based Systems
Vol. 14, No. 4 445 − 459 , World Scientific Publishing
Company.
[3] Triantaphyllou, Evangelos and Stuart H. Mann[1995],
Using The Analytical Hierarchy Process for Decision
Making In Engineering Application: Some Challenges,
Inter’l Journal of Industrial Engineering: Applications
and Practice, Vol. 2, No. 1, pp. 35-44,
[4] Alonso, Jose Antonio and M Teresa Lamata [2006],
Consistency In The Analytical Hierarchy, International
Journal of Uncertainty,Fuzzinessand Knowledge-Based
Systems Vol. 14, No. 4 445−459 , World Scientific
Publishing Company.

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Training and Placement Portal

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 225 Training and Placement Portal Dr. Ram Joshi1, Mrinal Chaudhari2, Pratiksha Gaikwad3, Savani Kadam4, Sheetal Kanthale5 1Dept. of Information Technology, JSPM's RSCOE, Tathawade, Pune. 2345(Student, Dept. of Information Technology, JSPM's RSCOE , Tathawade, Pune.) ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The software for the training and placement cell of a college is a need for the students and the institute management for the purpose of proper placement and training of the students of the institute. It helps the studentsto provide their profiles to the training and placement cell of the institute, update their respective profiles with their gradual approach towards course end). Also helpful to get to know about the companies coming for the on campus/off campus/pool/group pool categories of campus interviews. Also used get to know about tests conducted by the HR.. Key Words: SVM (Support Vector Machine), Training, Placement 1. INTRODUCTION The earlier system wasnotcomputerized, transactionsin the previous system were done manually by maintaining records. It takes much time for a placement officer to collect and approve the details of students. There is poor communication between students and placement officer. Students may not obtain the desired information. It is difficult to coordinate students, companies, and interviews. The proposed system is a web-basedapplication.Thesystem allows students to access detailsofrecruitments.Thesystem allows students to access any material posted by various departments. Recruiters can access the student details. It is easy for one to access desired information through the well- defined interfaces. For the purpose of training and placement of the Students. This application will perform various tasks for student administrative authority. This project helps a better student support and time-saving factor. The various types of reports will be available quickly without any effort. Training and placement provide infrastructural facility to conduct the group discussion. This project is aimed at developing a web portal for training and placement. Campus placements are conducted in all colleges for all the education fields. Various software and other sector companies are conducting campus recruitment process for selecting candidates. Whencampusselectionsareconducted in colleges the students have to provide their curriculum vitae to the concern TPO officer for attending the campus interviews. This routine process is maintained manually. Many colleges have automated system but have some limitations. Students uploaded their CVs early in the year, leaving them as it is in time. Lists were produced for each company based on the present information.Studentshaveto check their mail regularly. Searching is done based on the company criteria and requirement. The student will get notify rough mailing only. The students were not being made aware of the T&P activity other than placements. The information like company technical question paper, Resume Format, Jobdetailsare not available to the student. There wasnorecordkeptofthepast students and their working status. There was less communication between the student with the Training and Placement department. So that this can be improved by designing Advanced software. 2. RELATED WORK Teacher recruitment and placement should be based on the needs of the particular educational institution. It should not only be based on the teacher's rank but should also be based on several criteria such as teaching experience, educational background, major, and subject the teacher is capable to teach. If a teacher were recruited based on the need of the educational institution, it would be a factorthatsupportsthe success of the educational program in that region. The AHP Method is developed, it is a decision-making method which takes into account one's privacy or preference values by putting priority score in the form of matrix criteria, computing the choices, and obtaining the percentageofeach choices. The best choice is the priority score with the highest percentage. [1]The popularity AHP in decision making approach is creating multi-criteria decision-making(MCDM) that involves qualitative data. The method uses a reciprocal decision matrix obtained by pair wise comparisons so that the information is given in a linguistic form. In the pair wise comparison method, criteria and alternatives are presented in pairs of one or more referees (e.g. experts or decision makers). Using AHP method improves credibilityofdecision making . Process of decision making by comparing criteria with other can guarantee the result decision. AHP methodology can used for individual competencies by comparing the current key competencies rankings with results from last year to see if their have beenanychanges in the rankings as a result of changesinthecompany’sstrategy. The concept shows the suitability in applying each strategy under different degrees influenced by the factors tested. Analytic Hierarchy Process (AHP) helps decision maker to create a ranking by concerning the critical aspect. The AHP [3][4], also uses a principle of hierarchic composition to derive composite priorities of alternatives with respect to
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 226 multiple criteria from their priorities with respect to each criterion. It consists of multiplying each priority of an alternative by the priority of its corresponding criterionand adding over all the criteria to obtain the overall priority of that alternative. 3. DESIGN AND WORKING The first step was database design. A complete database required for the implementation of this project was designed. The project was designed based on a framework. Business entities layer: It identifies all the entities used in the project. Business logic layer: This layer operates on the business entity to achieve the goals. Data access layer: This layer serves as an interface between backend and the services. All modules and user interface was built in this step. Development was done using Java. The database was constructed in MySQL. Fig.1 Architecture diagram for training and placement portal The portal’s content structure and working fulfill a number of basic criteria as follows: Users involved for exploring the various features, scope, and constraints of the system. This project is helpful for Student administrative authority Companies HR, Documentations writers also. Admin/TPO can register all final year students of various departments with their academic records marks, attendance etc. Using SVM Admin evaluates the students based on specific attributes. Due to this, the Students whohavea goodscorein specified attributes will appear at the top of the list. Whenever HR finds any requirementin hiscompany.He will start the placement drive and mention the respectivedetails such as a number of vacancies, criteria, CTC. Then HR views the Students list uploaded by theAdminandSelectsstudents for the test who get fit into the criteria such as percentage. Then these selected Students will be sent the test link for online test. Students answer the questions asked in the test. Shortlist student and send offer letter Based on the answers submitted by the students HR displays the result and send the offer letter to the short-listed students. Studentcanview companies and their placement drivedetailssuchasnumber of vacancies, criteria, CTCetc.uploadedbytherespective HR. Student can appear for online test initiated by HR of any Company and view the result declared by HR. 3.1 Support Vector Classification Algorithm: Support vector machine (SVM) proposed by Vapnik and Cortes have been successfully applied for gender classification problems by many researchers. An SVM classifier is a linear classifier where the separating of the hyper plane is chosen tominimizetheexpectedclassification error of the unseen test patterns. SVM is a strong classifier whichcanidentifytwoclasses.SVM classifies the test image to the class which has the maximum distance to the closest point in the training. SVM training algorithm built a model that predicts whether the test image falls into this class or another. SVM requires a huge amount of training data to select an effective decision boundary and computational cost is very high even if we restrict ourselves to single pose (frontal)detection.TheSVM is a learning algorithm for classification. It tries to find the optimal separating of the hyperplane such that the expected classification error for unseen patterns is minimized. For linearly non-separable data the input is mapped tohigh- dimensional feature space where they can be separated bya hyperplane. This projection into high-dimensional feature space is efficiently performed by using kernels. More precisely, given a set of training samples and the corresponding decision values {-1, 1} the SVM aims to find the best separating hyperplane given by the equation WT x+b that maximizes the distance between the two classes. 3.2Modeling For Training And Placement Portal: Use Case Diagram Training and Placement Portal shown in Figure 2 consists of four actors. Actors involved in this System are student ,HR,TPO andAdmin. Thepersonwhowill need the information to make decisions,particularlyrelated to students placements. Fig.2 Use Case Diagram for training and Placement portal
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 227 4. CONCLUSIONS This system can be use as an application for college to manage the student information concerning placement. It also helps company coming for campus recruitment to see student details. Before coming for campus, company can get information about eligible students along with interested students. This web portal will perform various tasks for student administrative authority. This web portal helps the student for better support and time saving factor. The various types of reports will beavailablequickly without any efforts, it also reduces the work pressure of the T&P cell staffs. REFERENCES [1] Saaty, L Thomas , Decision-making withtheAHP:Whyis the principal eigenvector necessary, Eu ropean Journal of Operational Research , page 85–91, Elsevier Science B.V. [2] Alonso, Jose Antonio and M Teresa Lamata ,Consistency In The Analytical Hierarchy , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 14, No. 4 445 − 459 , World Scientific Publishing Company. [3] Triantaphyllou, Evangelos and Stuart H. Mann[1995], Using The Analytical Hierarchy Process for Decision Making In Engineering Application: Some Challenges, Inter’l Journal of Industrial Engineering: Applications and Practice, Vol. 2, No. 1, pp. 35-44, [4] Alonso, Jose Antonio and M Teresa Lamata [2006], Consistency In The Analytical Hierarchy, International Journal of Uncertainty,Fuzzinessand Knowledge-Based Systems Vol. 14, No. 4 445−459 , World Scientific Publishing Company.