NOCI | Devpost

Inspiration Imagine a pebble in your shoe costing you your foot. For people with Congenital Insensitivity to Pain (CIP)—a rare genetic disorder that eliminates nociception (the ability to feel physical pain or temperature)—this is a daily reality. Unnoticed injuries, infections, and micro-fractures frequently reduce their average lifespan to just 20-30 years.

When looking at current solutions, we noticed they were all hyper-clinical. They made users feel like patients. We were inspired to reimagine the "Quantified Self" by tracking an entirely missing human sense. Our guiding philosophy became Normalcy Through Semi-Opulence. We asked ourselves: What if we could turn everyday clothing into an artificial nervous system, disguising life-saving medical tech as a high-end streetwear brand?

What it does NOCI is a closed-loop smart-wear ecosystem—an artificial, external nervous system wrapped in luxury apparel.

The physical garments (shirts, pants, shoes) feature a discreet mesh of piezoelectric pressure sensors and thermistors. A lightweight spinal computing module processes threats via machine learning in milliseconds.

This hardware syncs with our digital concierge app, which provides:

Frictionless Oversight: A dark, sleek UI that reduces the hyper-vigilance and daily anxiety CIP patients face.

Hierarchy of Emergency & Actionable Diagnosis: Instead of dumping terrifying raw data (e.g., "92 PSI"), critical alerts take over the screen with explicit instructions (e.g., "Your right shoe is rubbing too hard. Please loosen your shoelaces").

Interactive 3D Body Map: Digitizes the exhausting daily mirror checks. Users tap glowing pressure points to log and clear minor bumps, allowing doctors to spot stress fracture accumulation weeks before an X-ray would.

Restored Social Touch: Real-time haptic feedback vibrates when a user grips too tightly, allowing them to safely hug siblings or play sports without fear of hurting others.

How we built it We started by defining the hardware constraints: building a self-sustaining mesh network of sensors powered by piezoelectric energy harvesting from the user's movement.

For the software, we mapped out the user journey and designed the UI/UX in Figma. We intentionally utilized a "Carbon Black and Neon Teal/Lime" color palette—borrowing from luxury automotive HMIs (like Tesla) and streetwear apps (like Nike SNKRS)—to completely avoid bright hospital whites and clinical reds. We then utilized tools like Builder.io and Locofy to bridge our Figma designs into functional code. The AI backend was designed to act as a translation engine, converting raw telemetry into plain-English Actionable Diagnoses.

Challenges we ran into Our biggest challenge was figuring out how to present medical data without causing panic. CIP patients already live in a state of hyper-vigilance. Initially, showing raw pressure data and temperature spikes felt overwhelming. We had to completely pivot our UI strategy to prioritize an "Actionable Diagnosis." We learned that data without direction causes anxiety, but data with a clear instruction causes safe action.

Additionally, ensuring that the app felt like a lifestyle upgrade (incorporating a Shop and Community tab) rather than a clinical monitoring tool required meticulous attention to typography, spacing, and color theory.

Accomplishments that we're proud of We are incredibly proud of the Actionable Diagnosis engine and the Hierarchy of Emergency. By prioritizing explicit instructions over raw numbers, we've created a tool that actively reduces cognitive load.

We are also deeply proud of the "Free Hugs" haptic feedback feature. While most medical devices focus strictly on physical safety, we realized that CIP patients often isolate themselves from physical touch because they don't know their own strength. Building a system that safely restores the emotional power of a hug is our greatest accomplishment.

What we learned We learned that accessibility tech doesn't have to look like accessibility tech. True inclusion means building tools that people actually want to wear and use. We discovered the profound impact that UX writing and color psychology have on a user's mental health, especially when designing for chronic conditions. Normalcy through luxury isn't just a design aesthetic; it's a powerful tool for destigmatization.

What's next for NOCI Our immediate next steps involve expanding the smart-wear line to include seasonal garments and refining the machine learning models to detect even more subtle micro-fractures based on posture and gait anomalies. We also plan to scale the Community features, allowing users to share specific insights—like how to layer winter clothes over their sensors without interrupting telemetry—further reducing the isolation of living with CIP.