AI-Powered Skill Assessment & Adaptive Testing

Overview

Let’s be honest—traditional exams suck. Standardized tests like the SAT, GRE, and even job assessments often ask random, outdated questions that don’t reflect real-world skills. Some students breeze through without challenge, while others struggle with irrelevant topics, leading to inaccurate skill evaluation and wasted potential.

For example, a computer science student may struggle with theory-based programming questions but ace practical coding tasks yet traditional tests won’t recognize this. Similarly, in job assessments, an AI developer might get rejected just because they took too long on a math question, despite excelling in AI concepts.

AI-driven adaptive testing dynamically adjusts difficulty levels based on real-time responses, ensuring every student gets a personalized challenge that matches their skill level. Instead of wasting time on easy or impossible questions, learners get assessments that push their abilities while identifying knowledge gaps.

Task

Build an AI-powered adaptive testing system that analyzes student responses in real time and adjusts question difficulty based on accuracy, speed, and confidence levels. The model should pinpoint weak areas and recommend personalized study plans, helping students prepare more effectively for exams and job assessments.