Intelligent Career Guidance System

Abstract

The Intelligent Career Guidance System is a webbased
application designed to assist students in
making informed career decisions by leveraging
machine learning (ML) techniques. Traditional
career counseling methods often lack
personalization and fail to account for individual
skills, interests, and market trends, leading to
confusion and suboptimal choices. This project
addresses these limitations by providing datadriven,
personalized career recommendations based
on students' academic performance, skills, and
aptitudes.
The system features a user-friendly graphical
interface (GUI) where students input their details,
which are then processed using ML models to
predict the two most suitable career options. Key
advantages include reduced decision-making
confusion, time efficiency, and accessibility for a
wider audience. The system also includes
administrative functionalities for managing job
trends and user data, ensuring scalability and
security.
Built with a three-tier architecture (frontend:
HTML, CSS, JavaScript; backend: PHP; database:
MongoDB), the project follows Agile methodology
for iterative development. While the system
enhances career guidance through automation and
accuracy, challenges such as data bias and the need
for continuous model updates are acknowledged.