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Research Article | Open Access
Volume 15 2023 | None
STREAM ANALYSIS FOR CAREER CHOICE APTITUDE TEST
Mr M.A.RANJIT KUMAR, V. SRUTHI, M.SRINIJA, S.SREYASA, CH.VIJAY
Pages: 890-895
Abstract
In today's dynamic job market, individuals often face the daunting task of selecting a career path that aligns with their interests, skills, and aspirations. To address this challenge, a Stream Analysis for Career Choice aptitude Test using web technologies emerges as a promising solution. This innovative approach leverages the power of web-based tools and data analytics to provide individuals with personalized career guidance. The system begins by collecting comprehensive data from users, including their academic background, interests, aptitude test results, and personal preferences. This data is then processed and analysed through advanced algorithms to identify suitable career streams. By harnessing the capabilities of web technologies, this career choice test becomes accessible to a wide audience, enabling individuals to make informed decisions about their future career paths. Further more, the integration of web technologies enhances the scalability and usability of the system. It can be accessed from various devices, such as smart phones, tablets, and desktop computers, making it convenient for users of all ages and backgrounds. The web-based platform also allows for real-time updates and customization, ensuring that the career guidance remains relevant and adaptive to changing job market trends. Moreover, the utilization of data analytics ensures that the recommendations provided by the system are data-driven and tailored to each user's unique profile. The system begins by collecting comprehensive data from users, including their academic background, interests, aptitude test results, and personal preferences. By harnessing the capabilities of web technologies, this career choice test becomes accessible to a wide audience, enabling individuals to make informed decisions about their future career paths. This data is then processed and analysed through advanced algorithms to identify suitable career streams. In summary, the Stream Analysis for Career Choice aptitude Test using web technologies not only empowers individuals to make well-informed career decisions but also harnesses the potential of the digital age to create a more accessible, scalable, and personalized approach to career counselling.
Keywords
Career Stream, Machine learning, Career Guidance, User Feedback
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