Career Recommendation Website: A Machine Learning Approach Using RandomForest and PowerBI Visualization

The project aims to develop a Career Recommendation Website using Web Technology and Machine Learning. Here the users are provided with eight parameters where they have to input the scores based on their proficiency in those parameters. It also generates a dashboard using PowerBI. The dataset will be trained on RandomForest algorithm for prediction and recommend the suitable career for the user. These parameters are evaluated and processed using our ML model and the suitable career is recommended. This project is developed to help students to choose the career based on their field interest and the skills in which they are proficient. When compared to the existing systems which are time consuming and which are based old techniques such Myers-Briggs and Holland Codes which mainly focuses on predicting the personality of the user rather than their career. This system overcomes that problem and helps the users to choose the career based on their interest and skills.