Abstract
The rapidevolution of technology and the changing dynamics of the job
market demand innovative solutions for career planning and guidance.
The app employs cutting-edge artificial intelligence (AI) algorithms to
empower students with personalized career insights, skill development
strategies, and practical tools to enhance their employability.
The app helps users by analyzing job market trends and employer
preferences through AI-driven insights, it provides suggestions for optimizing
resumes and with the advancement in AI/ML technologies, we can
leverage data-driven systems to provide personalized job
recommendations based on user preferences.
Offering personalized learning paths, the app recommends courses, and
certifications aligned with students' career goals. This feature empowers
students to proactively enhance their skill sets and stay competitive in the
job market.
3.
Problem Statement
Developan app integrating AI methodology using open source
data as career guidance and job recommender for aspiring youth.
The development of an AI-assisted career guidance app aims to
tackle the challenges faced by students.
These encompass the need for personalized recommendations
based on individual skills and interests, ensuring data accuracy
regarding career paths and market trends.
The app seeks to bridge skill gaps through AI-driven analysis.
4.
Existing Platform
Asper the job issue faced nowadays, many job
recommending platform grown up with help of new
technologies, Where students and job seeking persons
upload their resume to get the area of working to be
sorted.
The existing platforms is only giving the recommendation
of jobs which is barely matching the resumes and the skill
set what the people post. This is much satisfied in case of
just knowing the opening and job offers in the sector or in
the companies.
5.
PROPOSED IDEA
Accordingto the improving phase of skills in all the job sectors,
people used to know only about the existing skills which are barely
know by many of their competitors.
So as of now growing jobless situation people need to know the
extra qualification that can secure them a sure spot in the job
consideration by the companies.
Where as involving the AI technology which will show the job offers
as well as the further more opportunities with extra phase of
learning.
6.
Algorithms:
In recommendationsystem collaborative filtering algorithm is used for
Feedback handling, job recommendations, course suggestions and skill-
based matching.
Automatic Content Extraction (ACE) algorithm provide a powerful and
reliable solution for web scraping in an AI-assisted career guidance app,
enabling the app to gather and analyze data from various online sources
to provide valuable recommendations and support to users in navigating
their career paths effectively.
Software Requirements
Operatingsystem : Windows 10.
Coding Language : Python
Front-End : Streamlit , Python
Back-End : MySQL, PHP
IDE : VS Code, Anaconda
9.
Conclusion
Giving studentsand job seeking people the recommendation according to
their resume with few more job opportunities that may correlate with their
skill set.
Showing them few more skill which can be developed that may help them
to back confirmation in the job rush.
We can create a powerful system that provides accurate and tailored job
recommendations.
With the increasing demand for personalized experiences, job
recommendation systems are becoming essential tools in the job search
process.
By understanding the project structure and implementation details, we can
harness the potential of AI technologies to empower job seekers and
connect them with their dream opportunities.