anxiocheck

Inspiration

The inspiration for anxiocheck stems from the concept of Neuroception, the body's subconscious ability to detect threats without our conscious awareness. We wanted to bridge the gap between "intangible" sensory experiences and actionable data. By identifying previously "unmeasurable" aspects of the human experience, we aimed to create a tool that understands the user’s safety and stress levels even when the user is too overwhelmed to vocalize them.

What it does

anxiocheck is a speculative health tool designed to track and manipulate sensory data to support better self-understanding. It monitors three core biometrics: Blood Flow, Oxygen Concentration (SpO2), and Heart Rate (BPM). Triage Logic: The app categorizes the user’s state into three levels: Relaxed (Normal), Stressed, or In Danger (Abnormal). Emergency Response: If "In Danger" is detected and confirmed by the user, the app collects location data and contacts the nearest police department. Stress Intervention: If the user is stressed, the app provides a "cool-down" path featuring cat videos, words of affirmation, and breathing exercises.

How we built it

We built the project by first mapping out the Data Differentiation logic to separate physical danger from psychological anxiety. Logic Flow: We designed a system that compares real-time biometric data against established "Normal" baselines. The Interface: We wireframed a dashboard that displays current BPM and SpO2 levels alongside a "Mood-based" video feed for immediate intervention. Tracking: We developed a "Levels" report system that graphs blood pressure and heart rate over time (Today, Week, Month, Year) to highlight specific "Time vs. Level" spikes and their possible causes.

Challenges we ran into

One of our primary challenges was Data Comparison. It is difficult to distinguish between a high heart rate caused by physical exercise and one caused by a "Real Danger" scenario or an anxiety attack. We had to implement a "Data Differentiation" step that asks the user, "Are you in danger right now?" to ensure the app doesn't accidentally call the police during a workout.

Accomplishments that we're proud of

What we learned

Through this process, we learned about the complexity of Sensory Sensors. Beyond standard heart rate, we explored the speculative potential of Vomeronasal (chemical detection), Proprioception (body position), and Hygrosensory (moisture/sweat) sensors to create a more holistic picture of human stress. We learned that technical data is only useful if it is paired with empathetic "Words of Affirmation" and clear, supportive UI.

What's next for anxiocheck

The next phase for anxiocheck involves refining the "Levels" highlights to automatically suggest specific lifestyle tips to better blood pressure based on detected spikes. We also plan to expand the "Videos based on your mood" feature to include a wider range of sensory-calming content beyond cat videos, such as guided box-breathing and white noise.

Built With

• figma