Career Guidance System

Abstract

The project aims to develop a career recommendation system for computer engineers, leveraging Python and AI/ML algorithms. It will consider students' academic performance and personal details, culminating in personalized career suggestions and salary estimations. The system collects and preprocesses data, engineer’s relevant features, and trains machine learning models for career and salary prediction. An intuitive user interface enables students to input their information. The AI component analyzes students' data, utilizing NLP and sentiment analysis to understand their interests. It then provides tailored career recommendations and salary insights. The system is continuously updated and maintained, and a feedback loop is integrated for user improvement suggestions. Stringent privacy and security measures are in place to protect student data, ensuring compliance with data protection regulations. Keywords: A.I, M.L, Career, Engineering