International Journal of Scientific Research and Engineering Development

Precise measurement of human reaction time (RT) and cognitive function is critical for both neuroscience research and early detection of neurological disorders. Modern digital approaches – especially web-based self-tests – offer a scalable way to assess these functions outside the clinic. Recent work has shown that brief, browser-based cognitive assessments can be feasible and well-accepted by users. Building on this trend, we developed a lightweight, web-native application (using HTML, CSS, and JavaScript) to evaluate multiple aspects of cognitive and motor response. The app includes five interactive modules (color recognition, a neurocognitive/attention test, an animal-sound auditory response test, a multi-test reaction suite, and a Parkinson’s-related motor control test) that together probe various perceptual and decision-making abilities. Each task is designed to emphasize different skills (for example, visual processing speed or fine motor control) while using high-precision timing. We use the browser’s highresolution performance API to timestamp user actions with millisecond accuracy, which is important because device and hardware differences can otherwise introduce sizable timing errors. In summary, this platform demonstrates how web technologies can deliver rapid, remote cognitive assessments: it is user-friendly, device-flexible, and well-suited for largescale or home-based screening of brain health.