Abstract: In today’s world, numerous students often find themselves pursuing career paths influenced by external factors such as family, peers, or societal expectations rather than following their true passions. This frequently results in discontentment and a sense of unfulfilment within their chosen professions. To address this issue, we propose the creation of a personalized career recommender system built to guide students in identifying and selecting career path that get align with their genuine interests. In our daily lives, we encounter a constant barrage of recommendations and information from various sources, including individuals, newspapers, and the internet. The sheer volume of information available on the internet can pose a challenge for the students who are exploring diverse educational and career opportunities. Our recommendation system aims to simplify this process by narrowing down choices based on individual interests, thereby facilitating a more straightforward decision-making process for students as they chart their future paths.

Keywords: Career, Education, Recommendation, Machine Learning

| DOI: 10.17148/IARJSET.2023.10846