Students need to tailor CVs for AI resume filters

Most companies now use automated systems to scan and sort resumes before a human recruiter sees them, making it crucial for students to tailor applications to each role. The Hans India reports that common mistakes include sending the same CV everywhere, overdesigning formats, and relying too heavily on academic achievements. Clean, simple layouts and specific descriptions of projects or internships carry more weight.

Recruiters look for signals matching the job description, so using its language naturally helps both systems and people understand your fit. Vague statements like 'worked on a project' are less effective than explaining what you did and what changed. An updated LinkedIn profile or portfolio can also strengthen an application, as hiring today focuses more on demonstrated capability than on degrees alone.