Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
HEZER, a
ground-breaking analyzer for higher education that aims to improve the
decision-making process for people starting their educational journeys. The
developed system makes use of web scraping techniques and cutting-edge machine
learning algorithms to deliver individualized recommendations, with an emphasis
on solving issues like limited advice, financial limits, career possibilities,
and limited options. Students are helped in choosing their ideal degree
programs by insightful opinions from both newcomers and professionals in the
sector that have been gathered through surveys and questionnaires. HEZER
includes a full range of functionality, such as budget planning, financial
estimation, career analysis, and loan payback predictions. It is powered by
cutting-edge technologies like React.js, Python, and machine learning methods
like Random Forest Regression. It allows students to arrange their finances
effectively by allowing them to predict future course prices. Carefully crafted
research components offer individualized recommendations, financial advice, and
perceptive analysis of commercial potential connected to chosen projects. The
system's accuracy and dependability have been confirmed through meticulous
integration and testing. HEZER establishes a new benchmark for customized
recommendation systems in higher education, providing students with crucial
tools to negotiate the challenging environment and make well- informed
decisions. choices, ultimately leading to successful and fulfilling careers.
Country : Sri Lanka
IRJIET, Volume 7, Issue 10, October 2023 pp. 220-229