1. Presented by:
1. Govind Chaudhari [112502029]
2. Santosh Paudel [112502060]
Department of computer Science and information
Technology
Ghorahi, dang
Date: 2080/06/18
1
2. Table of Content
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1.Introduction
2.Problem statement
3.Objective
4.Scope and Limitation
5.Requirement Analysis
6.Process Model:
I. Dataflow Diagram
II. Flow Chart
III. ER Diagram
7.Implementation tool
8.Testing
9.Conclusion
10.Future Remediation
3. Introduction
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Recommendation system seeks to predict a user’s potential
“preference” or “rating” over an item based on the history of
preferences from that user.
Job Recommendation system is Web based application which
recommend the job to the job seeker.
This system is to suggest relevant jobs to users in accordance with
their rating similarity.
4. Problem statement
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It is not possible for the every job seeker to view the newspaper looking
for jobs daily.
Some other problems related to employment are presented below:
1.People are not getting the job according to their qualification, experience, etc.
2.There is the problem of nepotism
3.There is no proper management of job in the nation.
4. There is a problem regarding the placement of the right person to right place
5. OBJECTIVE
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1. The main objective of the job recommendation system is to
recommend the job to job Seekers
2. It recommends the job according to rating of the job to seeker
3. Reduce traditional way of job searching
6. Scope and & limitation
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Scope
• This system is to be developed provides the members with job information, online
applying for jobs and many other facilities
•The job seekers can apply for the match jobs and search job as per hi/her requirement
Limitations
•This system recommended the job on the basis of rating only.
•Data Scalability
•Cold start Problems
9. Non functional requirement
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The non-functional requirements of the job recommendation system are as below:
User-friendly
Easy Access
High speed
Responsive
16. Testing
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Unit testing: each and every components of software are tested.
Integration testing: integrated logically and tested as a group.
System testing: validates the complete and fully integrated software
Text
Cases
Precondition
s
Step to be
executed
Expected
Results
Actual
Results
Pass/Fail
Log
in for
Job
seeke
r
The job seeker
account
should be
logged In
a. Email:
kp@gmail.com
b. Pass:kiran
c. Click logged In
The job seeker must
be successfully logged
in the System
Job seeker is
successfully
Logged In.
Pass
17. Conclusion
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As a result, the system can recommend the job to the job seekers which will reduce the time of
searching jobs. Job recommendation web-based application is developed through the use of the
PHP. Through the use of this web application all people can apply for the job according to the
qualification and experience. Also the admin (job provider) can search for the candidate.
18. Future Recommendation
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The system can be enhanced for the future by:
developing mobile apps for the system.
making the recommendation job on the bases of the
current location of the users.