IPEC Journal of Science & Technology, Vol.

03 (01), June 2024

ISSN: 2583-3286(Online)

JobMatch: Intelligent Job Role Recommendation

System
Gaurav Sharma, Aman Kumar Verma, Abhay Tyagi, Anuj Singh Rawat
Inderprastha Engineering College, Ghaziabad, India

© The Author(s), under exclusive license to publication division, IPEC Journal of Science & Technology, 2024

Abstract: In today's competitive job market, both fresh graduates and experienced professionals often face challenges in
securing employment due to gaps in their skills and knowledge. This research paper explores a novel approach to bridging
these gaps through a comprehensive assessment process that evaluates job readiness. Based on the assessment results,
candidates are offered tailored training programs if they are not job-ready. For those who are job-ready, the platform
provides a list of companies currently hiring for their role, along with an estimated probability of selection based on his-
torical data. This model leverages advanced data analytics to offer personalized guidance, aiming to enhance employment
outcomes. The study highlights the effectiveness of this approach in improving job readiness and placement rates.

Keywords: probability, personalized guidance, adaptability.

I. INTRODUCTION

The rapid pace of technological advancement and evolving Skills Mismatch: There is often a disconnect between the
industry requirements have created a dynamic job market skills taught in educational institutions and those required by
where the demand for specific skills can change swiftly. This employers. Technological Advancements: Emerging tech-
has resulted in a growing gap between the skills possessed nologies such as artificial intelligence, machine learning, and
by job seekers and those required by employers. Fresh grad- data science are creating new job roles, requiring specialized
uates often lack practical experience and advanced skills, skills that many job seekers lack.
while experienced professionals may need to update their Soft Skills Deficiency: Employers increasingly value soft
knowledge to keep pace with industry developments. skills like communication, teamwork, and problem-solving,
Our platform addresses these issues by conducting detailed which are not always adequately developed in traditional ed-
assessments to evaluate the competencies of both fresh grad- ucational settings.
uates and experienced professionals. Based on the results,
candidates receive personalized training recommendations to 2.2 Existing Assessment and Training Methods
address their skill gaps. For those deemed job-ready, the plat-
form offers a curated list of potential employers and an esti- Various methods are currently employed to assess and im-
mation of their selection probability, guiding them in their prove job readiness. These include:
job search. Standardized Testing: Many educational institutions use
This paper outlines the methodology of our assessment pro- standardized tests to assess students' knowledge and skills.
cess, the criteria for determining job readiness, and the de- However, these tests often fail to measure practical abilities
velopment of tailored training programs. It also discusses the and soft skills.
use of historical data to predict selection probabilities and the Online Learning Platforms: Platforms like Coursera, edX,
impact of this approach on improving job readiness and and Udemy offer a wide range of courses to help individuals
placement success rates. develop new skills. While these platforms provide valuable
resources, they often lack personalized guidance and assess-
II. LITERATURE REVIEW ments.
Corporate Training Programs: Many companies offer in-
2.1 Current Challenges in the Job Market house training programs to upskill their employees. These
The job market today is characterized by rapid technological programs are typically tailored to the company's specific
changes and evolving employer expectations. Studies indi- needs and may not be accessible to job seekers.
cate that many job seekers, particularly fresh graduates,
struggle to meet these expectations due to a lack of practical GAP ANALYSIS
skills and experience. Research highlights the following key Despite the availability of various assessment and training
challenges: methods, a significant gap remains in the market. Key gaps
include: Personalization: Most existing methods do not pro-
Date of Submission: 29 May 2024 vide personalized learning paths based on individual assess-
Date of Acceptance: 28 June 2024 ments.
Corresponding Author: Anuj Singh Rawat Practical Skill Development: There is a need for more hands-
(e-mail: 2003013019@ipec.org.in) on training and real-world projects to develop practical
skills. Data-Driven Insights: Few platforms leverage
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 IPEC Journal of Science & Technology, Vol. 03 (01), June 2024
ISSN: 2583-3286(Online)

historical data and predictive analytics to guide job seekers Probability of Selection: An estimation of the likelihood of
in their career decisions. getting selected based on historical data and candidate pro-
Our platform aims to address these gaps by providing a com- files. Application Strategy: Recommendations on how to pri-
prehensive assessment, tailored training programs, and data- oritize job applications and prepare for interviews.
driven job placement support. This approach not only guides candidates in their job search
but also helps them make informed decisions based on data-
III. METHODOLOGY driven insights.

3.1 Assessment Design IV. CASE STUDIES

4.1 Fresh Graduate Success Story
The assessment process is crucial in determining the specific
needs of each candidate. It is designed to evaluate a broad Background: A fresh graduate with a degree in computer sci-
spectrum of competencies relevant to the job market. The as- ence struggled to find a job due to a lack of practical experi-
sessment includes ence in coding and project management. Assessment: The
Technical Skills Evaluation: Coding exercises, technical candidate's assessment results revealed strong theoretical
problem-solving questions, and domain-specific knowledge knowledge but significant gaps in practical skills and project
tests. Soft Skills Assessment: Communication skills, team- management.
work, leadership potential, and adaptability.
Training: The candidate was enrolled in a tailored training
Aptitude Tests: Logical reasoning, quantitative aptitude, and
program that included coding boot camps, project manage-
analytical thinking.
ment courses, and hands-on projects.
The assessments are role-specific to ensure relevance. Fresh
Outcome: After completing the training, the candidate im-
graduates are tested on foundational knowledge, while expe-
proved their assessment scores significantly and was able to
rienced professionals are evaluated on advanced topics and
secure a job as a software developer at a leading tech com-
industry-specific skills.
pany.
3.2 Data Collection and Analysis
4.2 Experienced Professional Success Story
Data is collected through an online platform where candi-
dates complete the assessments. This data includes Scores
Background: Experienced marketing professional needed to
and Performance Metrics: Detailed analysis of responses to
update their skills in digital marketing and data analytics to
identify strengths and weaknesses.
stay competitive in the job market. Assessment: The assess-
Behavioral Insights: Patterns in problem-solving approaches
ment identified gaps in the candidate's knowledge of the lat-
and time management.
est digital marketing tools and data analytics techniques.
Advanced statistical methods and machine learning algo-
Training: The candidate participated in an advanced digital
rithms are employed to analyze the data. This analysis helps
marketing course and a data analytics boot camp.
in :Identifying skill gaps and training needs.
Outcome: The candidate's improved skillset led to a promo-
Developing predictive models to estimate the probability of
tion within their current company and increased job offers
job selection based on historical data.
from other employers.
3.3 Training Program Development
V. TECHNICAL IMPLEMENTATION
Training programs are developed to address the specific skill
gaps identified during the assessment. These programs are:
5.1 Online Platform
Industry-Aligned: Created in collaboration with industry ex-
perts to ensure relevance.
The online platform serves as the backbone of the assessment
Modular and Flexible: Allowing candidates to learn at their
and training process. Key features include:
own pace and focus on areas where they need the most im-
User-Friendly Interface: Designed to provide an intuitive ex-
provement. Interactive and Practical: Including projects, case
perience for candidates, making it easy to complete assess-
studies, and hands-on exercises to enhance practical
ments and access training materials. Scalability: Built to han-
knowledge.
dle a large number of users simultaneously, ensuring smooth
Courses cover a wide range of topics, from basic technical
operation during peak times.
skills to advanced domain-specific knowledge, as well as es-
sential soft skills.
5.2 Technical Architecture
3.4 Job Placement Support
The platform's technical architecture includes:
Front-End: Developed using modern web technologies such
For candidates assessed as job-ready, the platform provides
as HTML5, CSS3, and JavaScript frameworks (React, An-
comprehensive job placement support, which includes:
gular) for a responsive and interactive user experience.
Curated Job Listings: A list of companies currently hiring for
Back-End: Powered by robust server-side technologies such
roles that match the candidate's skills and preferences.

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 IPEC Journal of Science & Technology, Vol. 03 (01), June 2024
ISSN: 2583-3286(Online)

as Node.js and Python, with a focus on scalability and per- VII. CONCLUSION
formance. Our approach of conducting detailed assessments, offering
Database: Utilizes SQL and NoSQL databases to store and tailored training programs, and providing data-driven job
manage large volumes of data, including candidate profiles, placement support has proven effective in enhancing employ-
assessment results, and historical job placement data. ment readiness among fresh graduates and experienced pro-
fessionals. By leveraging historical data and predictive mod-
5.2 Data Security and Privacy eling, we can offer personalized guidance that significantly
improves candidates' chances of securing employment. This
Data security and privacy are paramount. Measures include: model can serve as a blueprint for other educational and ca-
Encryption: All sensitive data is encrypted both in transit and reer development platforms aiming to bridge the skills gap in
at rest. the job market.
Access Control: Strict access control mechanisms to ensure
that only authorized personnel can access sensitive infor- VIII. FUTURE WORK
mation. Compliance: Adherence to relevant data protection
regulations such as GDPR and CCPA to protect user privacy. 8.1 Improved Assessment Techniques

Future work will focus on enhancing the assessment process

VI. RESULTS AND DISCUSSION by incorporating:
Adaptive Testing: Using machine learning to adapt the diffi-
6.1 Assessment Outcomes culty of questions based on the candidate's performance in
The assessment process has yielded significant insights into real-time.
the skill levels of candidates. Key findings include: Virtual Reality (VR) Assessments: Leveraging VR to create
Skill Gaps in Fresh Graduates: A substantial number of fresh immersive scenarios for assessing practical skills in a more
graduates lack practical experience and advanced technical realistic environment.
skills, particularly in areas such as coding, data analysis, and
project management. 8.2 Expansion of Training Programs
Experienced Professionals' Needs: Many experienced pro-
fessionals need to update their knowledge in emerging tech- Plans to expand the training programs include
nologies and industry-specific advancements. New Course Offerings: Adding courses in emerging fields
Candidates who participated in the assessment and subse- such as artificial intelligence, blockchain, and cybersecurity.
quent training programs showed notable improvements in Collaborations with Industry Leaders: Partnering with lead-
their scores, indicating the effectiveness of the tailored train- ing companies and educational institutions to offer the latest
ing approach. and most relevant training programs.
6.2 Placement Success Rates
The predictive models developed to estimate selection prob- 8.3 Long-Term Impact Analysis
abilities have shown high accuracy. As a result, candidates
have been able to better prioritize their job applications and To measure the long-term impact of our approach, we will:
focus on opportunities where they have a higher likelihood Track Career Progression and follow up with candidates over
of success. Key metrics include: several years to assess their career growth and job satisfac-
Improved Placement Rates: A higher percentage of candi- tion.
dates securing employment in their desired roles. Employer Feedback: Collect feedback from employers to un-
Reduced Job Search Time: Candidates are able to find suita- derstand how well-prepared our candidates are for their roles
ble job opportunities more quickly, thanks to the targeted and identify areas for improvement.
recommendations.
6.3 Candidate Feedback
Feedback from candidates has been overwhelmingly posi-
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