NeuroStorm

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  Landing Page

Inspiration

We were inspired by the idea that every brain learns differently. Traditional education can't adapt in real-time, but EEG-driven AI tutoring can, bringing neuroscience into personalized learning.

What it does

NeuroStorm is an AI-powered tutor that uses EEG data to track attention, stress, and cognitive engagement. It dynamically adjusts teaching style, pacing, and difficulty to match the learner’s brain state.

How we built it

We integrated EEG hardware (OpenBCI) with a machine learning model that classifies brain states. The AI tutor, built with Tavus AI avatars and NLP models, responds to these states in real time, personalizing the experience.

Challenges we ran into

-Interpreting noisy EEG data -Calibrating brain states across different users -Syncing real-time brain signals with dynamic content delivery -Building an intuitive and engaging UX

Accomplishments that we're proud of

Created a working prototype that adapts content based on brain activity Successfully trained models to detect focus and cognitive load Built a realistic AI tutor avatar that interacts naturally

What we learned

-Brain-computer interfaces can enhance learning when paired with adaptive AI -Real-time biofeedback makes digital learning more human -Personalization isn't just about content—it's about cognitive timing

What's next for NeuroStorm

Exlore blockchain rewards feature Optimize EEG classification with more training data Integrate emotion and motivation detection Launch pilot programs in schools and online platforms Explore neurofeedback for self-regulated learning

Built With

• bolt
• gemini
• netlify
• openbci