Soulnest Aplicacion Mobila per Yixuan Song and Jiahui Yu

Lo dissènh Soulnest Aplicacion Mobila per Yixuan Song and Jiahui Yu es un laureat autfo estimfo del prestigfo 2026 A' Design Award de Fèrre dins la Categoria de Competfo Mobil.

FèrreMobil· 2026

Soulnest Aplicacion Mobila

per Yixuan Song and Jiahui Yu

Client : SoulNest

Laureat del A' Design Award de Fèrre dins la Categoria Mobil

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Lo Concèpte

A prepaus de Soulnest Aplicacion Mobila

Soulnest es una aplicacion mobila creada per sosténer lo benèsser mental. L'aplicacion prepausa un companh d'intelligéncia artificiala que guida los utilizaires a travèrs de quatre etapas: seleccion del companh, avaloracion, terapia e alleujament de crisi. L'analisi faciala e la deteccion del ritme cardiac permeton al companh d'adaptar son ton e sas indicacions en temps real. De metòdes de terapia cognitiva e comportamentala son utilizats per ajudar los utilizaires a gerir l'estrès emocional. Tot lo tractament se fa sul dispositiu, doncas l'aplicacion fonciona fòra linha e garda las donadas personalas privadas.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Soulnest Aplicacion Mobila a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Soulnest Aplicacion Mobila siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Soulnest Aplicacion Mobila merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

Darrièr lo concèpte

Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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.
Dimensions e Embalatge: 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.
Etiquetas: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Tecnologia de Produccion: 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.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Flux Operacional: 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.
Membres de l'Equipa: Yixuan Song
Jiahui Yu
Xianxi Liao