SMART CAREER GUIDANCE SYSTEM

Choosing the right career is often confusing, when there are so many options available in these days. Many students and job seekers are not sure about which path is suitable to them the best because they are not completely aware of their skills and strengths. This project aims at solving this problem by developing a Career Guidance Recommendation System that gives personalized and suitable career suggestions. The system takes simple inputs from the user such as level of education, interests, and basic skills like coding, communication, and logical thinking. These inputs are then analyzed using a machine learning model called Random Forest algorithm. The system compares the user’s profile with real-world career data through a custom-made dataset and suggests the top three suitable career options along with confidence scores. Along with recommendations, the system also highlights areas where the user can improve through a simple skill gap analysis. The application is designed as a web-based system, making it easy to use and accessible. Overall, it helps users make better and more informed career decisions. To provide a solution to this problem, the system proposed provides a more structured assessment and a data-driven system for providing career guidance.