Job Recommendation System using Machine Learning
Sakshi Gadegaonkar, Darsh Lakhwani, Sahil Marwaha, Prof. Abhijeet Salunke
Abstract
Millions of students graduate from college every year and start looking for jobs, but hunting for a suitable job that pays according to the applicant’s skills is not an easy process. On the other hand, recruiters and companies look for graduates to join them according to their requirements. Unfortunately, there is often a gap between the applicants (job seekers) and recruiters (job providers). To bridge this gap and solve this problem, this study has come up with a job recommendation system that will recommend jobs in the IT sector that match the applicants’ skills and expectations. This study has built an Android application to recommend jobs to the users based on their interests, databases, frameworks, platforms, and languages comfortable with. The recommendation is done by using a Machine Learning (ML) model (written in Python), which makes use of the content-based filtering algorithm. This study has built the application using Kotlin, Jetpack Compose, Ktor, and the UI has been designed by using Material 3 Design Principles.