ML-Powered Adaptive IQ Test

A developer built an adaptive IQ test using Next.js 14, TypeScript, and machine learning to create a more accurate and personalized cognitive assessment tool. The test adapts to the user's age, education, and occupation, and remembers which questions have already been answered. This approach is more effective than traditional online IQ tests, which often ask the same questions to everyone. To implement this, the developer used a custom ML scoring engine, localStorage for session history, and Vercel for deployment. This approach has the potential to provide more accurate and meaningful results.