NeuroAge

Inspiration

I’ve always been fascinated by how our brains adapt and change over time. When I learned that many people only start thinking about their brain health after problems appear, I knew there had to be a better way. During natIgnite’s focus on AgeTech, I wanted to create something that could help people take control of their cognitive wellness earlier — like a fitness tracker, but for the mind. My goal was to combine neuroscience, real-time analytics, and an engaging user experience so that cognitive care could be accessible and proactive.

What it does

NeuroAge is a cognitive health platform that measures, tracks, and helps improve mental performance.
It works in three steps:

Assessment — A short, science-backed cognitive test that measures memory, focus, processing speed, and problem-solving skills.
NeuroAge Score — A single, easy-to-understand number that reflects cognitive performance compared to your chronological age.
Personalized Plan — AI-generated recommendations and interactive brain exercises designed to improve weak areas.

Over time, NeuroAge builds a performance history so users can see trends, track progress, and make informed decisions about their brain health.

How I built it

Frontend: HTML, CSS, and JavaScript to create a clean, responsive interface.
Backend: Node.js + Express for handling assessments and storing data securely.
AI & Analytics: Python-based models to evaluate test scores, detect patterns, and adapt recommendations.
Data storage: MongoDB for secure, scalable data management.
Integrated gamification elements to keep users engaged and returning regularly.

Challenges I ran into

The main challenge was balancing scientific accuracy with usability. I wanted the tests to be validated enough to give meaningful results, but still short and engaging enough for everyday use. I also faced hurdles in visualizing cognitive performance in a way that was easy to understand without oversimplifying the data.

Accomplishments I’m proud of

I’m proud of creating a working prototype that blends neuroscience principles with AI-driven personalization. Seeing beta users respond positively — saying the app made them more aware of their mental habits — has been incredibly rewarding.

What I learned

I learned that user experience is just as important as technical accuracy in health-related tools. I also deepened my understanding of how to process and analyze cognitive performance data in real time.