Soulnest Applicatio Mobilis ab Yixuan Song and Jiahui Yu

Opus Soulnest Applicatio Mobilis a designatore Yixuan Song and Jiahui Yu est victor maxime honoratus praemii praestigiosissimi 2026 Praemium A' Design Award Ferreum in Categoria Certaminis Mobilis.

FerrumMobilis· 2026

Soulnest Applicatio Mobilis

a Yixuan Song and Jiahui Yu

Cliens: SoulNest

Victor praemii Praemium A' Design Award Ferreum in Categoria Mobilis

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Victor Praemii Verificatus

Verifica Statum Praemii pro #182422

Visita Situm Vide apud A' Design Award Communicatum Insigne Praemii

Colores

Designum

De Soulnest Applicatio Mobilis

Soulnest est applicatio mobilis ad salutem mentis sustinendam creata. Applicatio comitem intellegentia artificiali praeditum praebet, qui usuarios per quattuor gradus ducit: comitis electionem, aestimationem, therapiam et sublevationem in discrimine. Analysis vultus et sensus pulsus cordis comiti permittunt ut tonum suum et consilia in tempore reali accommodet. Methodi therapiae cognitivae ad mores pertinentis adhibentur, ut usuarii angorem animi moderari possint. Omnis elaboratio in ipso instrumento fit, itaque applicatio sine nexu interretiali operatur et data personalia privata servat.

Agnitio

De Praemium A' Design Award Ferreum

Soulnest Applicatio Mobilis victor est Praemii A' Design Award Ferreum, honoris amplissimi formis bonis dati, quae postulatis professionalibus et industrialibus ab creationibus bene formatis exspectatis satisfaciunt. Victores Ferrei magnam peritiam, altam specializationem, intellectum periti et facultatem creandi auctorum suorum ostendunt. Exspectatur Soulnest Applicatio Mobilis creationem multum aestimatam, admiratam et carissimam, practicam et novam fore. Haec forma Ferreo victa optimas industriae consuetudines integrat et proprietates technicas idoneas, cum scientia et talento coniunctas, habet. Soulnest Applicatio Mobilis ob diligentiam suam honoratur et ad vitae qualitatem emendandam formatum est, ut mundum meliorem reddere iuvet.

Post Designum

Fasciculus Nuntii

Merita, sodales gregis et singula technica a designatore praebita.

Proprietates Singulares: 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.
Dimensiones et Involucrum: 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.
Notulae: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Technologia Productionis: 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.
Provocatio Designandi: 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.
Investigatio: 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.
Inspiratio: 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.
Duratio Operis: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Cursus Operationis: 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.
Membra Turmae: Yixuan Song
Jiahui Yu
Xianxi Liao