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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM43705
Volume:
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Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Choosing the right career is one of the most crucial decisions in one’s life. This decision should not be influenced by anyone’s pressure and should be mainly your own choice. Selecting the right career ensures that you gain financial growth over time which eventually leads to good well-being of an individual and hence a content society. At present in India, we have more than 250 career options available but according to a survey conducted by “India Today” in 2019, 93% of the student population of the country is familiar to hardly seven career options, as majority of the students and parents generally choose most conventional careers like Engineering, Medical, Law, Civil services, Management, Pharmacy etc. The reason for these appalling statistics is the lack of awareness and education of the varying professions available amongst the youth. Eventually pursuing a career which is not of your choice can lead to poor job satisfaction, lack of skills and an unsound mind. Therefore, taking the right decision at the right time is important. This is where Carrer Launch Pad comes to your rescue. Carrer Launch Pad is a web-based career guidance system which analyzes the profile of its user by conducting personality, technical tests and suggests diverse career options to its users. Our service does not stop at this point, we provide multiple informative material on the job opportunities available in the industry. Along with this we also display various skill building courses, projects, internships, job opportunities, startup options which can enhance your profile and increase your chances of getting employed. Our web application makes use of multiclass classification algorithms to predict the careers of an individual. After analyzing various multiclass algorithms like K nearest neighbor, SVM, Random Forest, One vs rest we implemented Random Forest because of being the most accurate algorithm. At present this system works for the SSC category of users and under-graduates (Information Technology and Computer Science domain). Our aim is to extend this system in all domains, make it accessible to all and become the one stop solution to all your career needs.
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Publication Date
4/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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