PREDICATION OF CAREER BY ANALYZING USER’S BROWSER HISTORY, PERSONALITY TRAITS AND ACADEMIC RECORDS(DREAM MANTRA)

Nowadays, choosing a right career is one of the most important aspects of the student's learning process, and it is difficult to choose the right career option when there are number of options available to choose from. Our students choose academics based on traditional process and very little to no data mining or analytics is used to suggest right academics that can otherwise dramatically improve student's performance. It is normal human tendency to choose a career only by considering the academic records without much analyzing the skills or interest of students. Therefore, the proposed system aims at predicting the interest of user. When it comes to prediction there has to be some information to perform mining on. And what could be better to collect information from the internet. Internet being widely popular among the student's community can be a great source to collect information about an individual's choice of interest. Therefore, the proposed system recommends using the browser history which will give an insight of what an individual is interested in. However, it is also observed that there is an impact of psychological parameters for choosing a right career option. Hence, the proposed system takes the psychological parameters into consideration as well. The psychometric test can be conducted on students and the students can be classified for choosing the right career option. Hence our Dream Mantra application is likely to recommend you that which career type will be best suited for you so you may take the right steps at the right time.