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The move between secondary education
and an undergraduate engineering education is a big
challenge to the first-year students (freshers) which
is usually marked with academic stress, time
mismanagement, and little awareness of the
employability skills as per industry standards. The
current Learning Management Systems (LMS)
mainly aim at delivering content without paying
much attention to the comprehensive growth of the
student. In this paper, the author introduces the
concept of personalized and web-based intelligent
assistant called Study Buddy that will help to fill this
gap. The system was developed in a serverless
architecture in JavaScript and Google Firebase and
includes four key modules: an Automated Study
Planner to schedule study sessions dynamically with
the college timetable of the user; an Employability
Assessment Engine (Am I Employable?), who
evaluates soft skills; a centralized academic
repository; and a portal to guide the career. The
software is a lightweight Single Page Application
(SPA) framework to make sure that its latency is low,
and its data is synchronized in real-time. The results
of the testing show that the platform has been
effective at assisting students to plan their study time
more efficiently and diagnose gaps in skills at the
start of their academic years, which contributes to
academic and career preparation.
"Study Buddy – A Web-Based Integrated Academic and Career Development Assistant for Engineering Freshmen", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a325-a333, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512039.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator