Harnessing Machine Learning for Career Guidance

Technology progressing at his speed means more automated job recommendation is needed, for something beyond what we have traditionally seen. We will be teaching these personalized and intelligent systems, for differentiating the unique well-defined job roles in each industry to serve different sorts of jobs seekers. New graduates have no real world experience or knowledge of the job market and may have a hard time getting the information out of the plethora of opportunities available. ML approach: we create a job searching system that relies on ML techniques and the use of [] tricks to make it less difficult to get recommendations. The system matching the relevant aspects of the recruiter and the job seeker (Education background, Job type, company setting & industry sectors. The system uses AI based functionality to study up on background, skills and interests of candidates and proceeds with recommendations; that way make sure they do not spend much time searching for wrong things and people are not their mouthpieces (robots). It additionally mixes the latest trends in the job market with user input and recommendations so as to provide a seamless job matching process. And it also has ATS (ApplicantTracking System) Score Finder that screen the resumes according to the ATS of the industry the resume from. Function encouraged candidates to stand out from the crowd and also, increased chances of a soft shortlisting in automatic recruitment.