intelliforge

The current placement preparation landscape is a 'black box' for students. Despite 70% of engineering graduates being technically skilled, a significant 'readiness gap' exists because students lack quantifiable performance data. Traditional mock interviews are subjective, non-scalable, and fail to provide granular analytics on technical depth vs. communication clarity. Without a data-driven baseline, students prepare blindly, leading to high 'Placement Risk' and missed opportunities. HireSense AI solves this by converting qualitative interview performance into a Structured Readiness Score, providing a measurable roadmap to employability.