What if a 14-year-old solved a medical problem that billion-dollar companies haven’t?
Meet EYEVA™ — the AI wearable that detects eye drift in real time, built by Aaryan Balani, age 14, for a fraction of the cost of existing solutions.
Intermittent strabismus affects millions of people worldwide. When the eye drifts, the person rarely knows it’s happening — and commercial detection devices cost $15,000–$30,000, putting them out of reach for most patients.
Aaryan Balani, an 8th grader from Cypress, California, spent a year teaching himself machine learning and building a solution. EYEVA™ is a custom-trained AI wearable headband that detects eye drift in real time and alerts the user instantly. It cost $345 to build.
2026
The Problem. The Gap. The Solution.
The Problem
Intermittent strabismus causes the eye to drift unpredictably. Most patients have no real-time awareness when it happens — making training and correction significantly harder. The condition affects an estimated 3–4% of the population.
The Gap
Existing clinical eye-tracking devices cost $15,000–$30,000 and are confined to clinical settings. No affordable, portable, real-time alert device exists for daily use. Patients go undetected for hours, days, or longer.
The Solution
EYEVA™ uses a custom-trained YOLO v11 machine learning model running on a Raspberry Pi 5 with a Hailo AI HAT and dual infrared cameras to detect drift events in real time and deliver an immediate biofeedback alert.
Technical Stack
EYEVA™ runs on a Raspberry Pi 5 with a Hailo-8L AI accelerator HAT (26 TOPS), dual wide-angle infrared cameras, and a custom-trained YOLOv11 model optimized for real-time ocular displacement detection.
The case for EYEVA™ — in four numbers
That’s a 99% cost reduction compared to existing clinical solutions.
See EYEVA™ in Action
Watch Aaryan demonstrate EYEVA™ — from drift detection to real-time alert — in this 3-minute demo filmed at his home lab in Cypress, California.
The Inventor
Aaryan Balani is a 14-year-old 8th grader at Oxford Academy in Cypress, California. He has intermittent strabismus — a condition where his eye occasionally drifts without him realizing it. When he learned that no affordable real-time detection device existed, he decided to build one himself.
Over the course of one year, Aaryan taught himself machine learning, iterated through five hardware prototypes, conducted a 30-day pilot study, and filed a full utility patent application in his own name with the USPTO. He was 13 when he started. He was 14 when he won.
At the 71st Orange County Science & Engineering Fair at Chapman University in March 2026, EYEVA™ earned the highest award in the Biomedical Engineering category and the ADLM Young Investigator in Health Science Award — selected by professional medical scientists — making Aaryan one of the youngest recipients of that honor in its history. He was also nominated to the Thermo Fisher Junior Innovators Challenge, the nation’s premier middle school STEM competition.
“He was 13 when he started. He was 14 when he won.”
Recognition & IP
Who We’re Looking For
EYEVA™ is actively seeking partners to help bring this technology to patients at scale.
Research Partnership
Are you a faculty member, clinician, or research institution working in ophthalmology, pediatric vision science, biomedical engineering, or wearable AI?
EYEVA™ is seeking:
- University research mentors
- IRB-approved clinical study partners
- Ophthalmology and biomedical engineering lab collaborations
- Co-investigator partnerships for multi-subject clinical trials
Industry & Licensing
Are you a medical technology company, health innovation investor, or technology scout interested in AI-powered wearable medical devices?
EYEVA™ is open to discussions about:
- Licensing of patent-pending technology
- Strategic research and development partnerships
- Pilot program sponsorships
- Technology development collaborations
All IP is owned solely by Aaryan Balani. Any collaboration is welcome provided it is structured to protect existing intellectual property. Patent Application No. 19/567,275 · Trademark Serial No. 99735637
In the News
Covering EYEVA™?
We have a full press kit with high-resolution photos, technical specifications, and background materials available on request.
Get In Touch
Whether you’re a researcher, industry partner, or member of the press, we’d love to hear from you. All inquiries are reviewed personally.