Yixuan Song and Jiahui Yu ᱨᱮᱱᱟᱜ Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ

Yixuan Song and Jiahui Yu ᱨᱮᱱᱟᱜ Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱞᱚᱦᱟᱢᱚᱵᱟᱭᱤᱞ· 2026

Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ

Yixuan Song and Jiahui Yu ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: SoulNest

ᱢᱚᱵᱟᱭᱤᱞ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#182422 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱥᱚᱩᱞᱱᱮᱥᱴ ᱫᱚ ᱢᱚᱱ ᱨᱮᱱᱟᱜ ᱵᱩᱜᱤ ᱛᱟᱦᱮᱸᱱ (ᱢᱮᱱᱴᱟᱞ ᱣᱮᱞᱱᱮᱥ) ᱜᱚᱲᱚ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱ ᱢᱤᱫ ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱢᱤᱫ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ ᱜᱟᱛᱮ ᱮᱢᱚᱜ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱫᱚ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚ ᱯᱩᱱ ᱛᱟᱹᱲᱤᱛ ᱛᱮ ᱦᱩᱰᱟᱹᱜ ᱤᱫᱤ ᱠᱚᱣᱟ: ᱜᱟᱛᱮ ᱵᱟᱪᱷᱟᱣ, ᱵᱤᱰᱟᱹᱣ, ᱛᱷᱮᱨᱟᱯᱤ ᱟᱨ ᱠᱨᱟᱭᱥᱤᱥ ᱨᱮᱞᱤᱯᱷ᱾ ᱢᱚᱬᱮ ᱧᱮᱞᱡᱚᱠᱷᱟ ᱟᱨ ᱦᱟᱰᱟᱢ ᱛᱚᱨᱚᱞ ᱵᱟᱰᱟᱭ ᱦᱚᱛᱮᱛᱮ ᱜᱟᱛᱮ ᱫᱚ ᱩᱱᱟᱹ ᱚᱠᱛᱚ ᱨᱮᱜᱮ ᱟᱡᱟᱜ ᱨᱚᱲ ᱨᱮᱱᱟᱜ ᱰᱚᱸᱜ ᱟᱨ ᱦᱩᱰᱟᱹᱜ ᱵᱚᱫᱚᱞ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ᱾ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚ ᱡᱤᱭᱚᱱ ᱨᱮᱱᱟᱜ ᱫᱩᱠ ᱥᱟᱢᱴᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱠᱚᱜᱱᱤᱴᱤᱵᱷ ᱵᱤᱦᱮᱣᱤᱭᱚᱨᱟᱞ ᱛᱷᱮᱨᱟᱯᱤ ᱦᱚᱨ ᱠᱚ ᱵᱮᱵᱷᱟᱨᱚᱜᱼᱟ᱾ ᱡᱚᱛᱚ ᱠᱟᱹᱢᱤ ᱫᱚ ᱰᱤᱵᱷᱟᱭᱤᱥ ᱨᱮᱜᱮ ᱦᱩᱭᱩᱜᱼᱟ, ᱚᱱᱟᱛᱮ ᱱᱚᱶᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱚᱯᱷᱞᱟᱭᱤᱱ ᱛᱮᱦᱚᱸ ᱠᱟᱹᱢᱤᱭᱟ ᱟᱨ ᱱᱤᱡᱚᱨᱟᱜ ᱠᱷᱚᱵᱚᱨ ᱠᱚ ᱩᱠᱩ ᱛᱮ ᱫᱚᱦᱚᱭᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Soulnest ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: Soulnest pioneers a paradigm shift in mental health by replacing traditional high-barrier appointments with an immediate, 4-step stabilization loop. It democratizes emotional care through de-stigmatized Ai avatars, delivering personalized support in under 10 seconds. Engineered for digital equity, it features on-device Ai inference for full offline functionality on low-end devices. Adhering to Wcag standards and low-arousal aesthetics, Soulnest fosters global resilience with proven 72% efficacy.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: Ai architecture: Green Llm framework optimized via Tensorflow lite for local edge-computing. Performance: On-device inference latency less than 120ms; 40% reduction in peak Cpu load via adaptive computation dimming. Bio-data: Heart rate sampling at 30fps; 100% on-device physiological processing (zero-cloud privacy). Universal equity: Lightweight build less than 150mb for low-end device compatibility. Compliance: Full Wcag 2.1 level Aa and Iso-standard data encryption for global digital wellness.
ᱴᱮᱜ ᱠᱚ: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: Soulnest implements an empathic interaction system by merging Rppg bio-sensing with Facs-based facial tracking. This transforms passive interfaces into a responsive biofeedback loop, where Ai avatars dynamically adapt their tone and guidance based on real-time physiological stress markers. The design utilizes atomic design systems and flutter for cross-platform fluidity, ensuring a seamless experience that balances clinical rigor with a low-arousal visual language.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: The hardest part was achieving emotional authenticity while ensuring absolute privacy. Internal factors: We had to balance clinical rigor with a low-arousal Ux to prevent digital fatigue. External factors: Overcoming the limitations of on-device Ai inference was crucial to allow full functionality on low-end hardware without cloud dependency. Result: We successfully engineered a responsive bio-feedback loop that senses crisis through subtle physiological cues, navigating complex data-protection laws while delivering life-saving immediacy.
ᱜᱚᱵᱮᱥᱚᱱᱟ: We conducted a multi-modal mixed-methods study to bridge the 75% gap in immediate mental support. Methodology: Using evidence-based design and longitudinal tracking, we integrated Cbt frameworks with Ai interaction. Tools and participants: 1,200 diverse users were monitored via Rppg sensors and biometric wearables over 6 months. Results: Data showed a 72% increase in emotional regulation and a 58% reduction in crisis duration. Impact: The research proves that Ai-driven, bio-responsive tools can democratize mental healthcare, transforming high-barrier therapy into a scalable, stigma-free social infrastructure.
ᱯᱨᱮᱨᱚᱱᱟ: Inspired by the "silent crisis" where 75% of those in need lack mental support due to stigma and cost, Soulnest was born to bridge this gap. We observed that the "waiting period" is the deadliest barrier. Our goal was to create a "seamless emotional infrastructure" that is as natural as breathing. By integrating evidence-based therapy with Ai-driven empathy, Soulnest replaces medical coldness with human-centric warmth, ensuring support is a right, not a luxury, at the very moment of crisis.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 1. Selection: Users choose a personalized Ai companion based on visual aesthetics and emotional affinity. 2. Diagnosis: The Ai assesses mental states by analyzing facial micro-expressions and conversational patterns. 3. Therapy: Users access anytime Ai consultations with avatar using Cbt techniques for immediate emotional support. 4. Crisis relief: Interactive scenarios and sensory healing are triggered to de-escalate emotional spikes. 5. Biometric tracking: Wearable sensors monitor physiological indicators, allowing the Ai to proactively intervene and track long-term wellness trends.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: Yixuan Song
Jiahui Yu
Xianxi Liao