Soulnest Sepana Mobîl لەلایەن Yixuan Song and Jiahui Yu

دیزاینی Soulnest Sepana Mobîl لەلایەن Yixuan Song and Jiahui Yu خەڵاتگرێکی بەناوبانگی خەڵاتی شکۆمەندی 2026 Xelata A' Design Award a Hesinîn لە پۆلی پێشبڕکێی Dîzayna Teknolojiyên Mobîl, Serlêdan û Nermalavê.

HesinMobîl· 2026

Soulnest Sepana Mobîl

لەلایەن Yixuan Song and Jiahui Yu

کڕیار: SoulNest

خەڵاتگری Xelata A' Design Award a Hesinîn لە پۆلی Mobîl

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خەڵاتگری پشتڕاستکراو

پشتڕاستکردنەوەی باری خەڵات بۆ #182422

سەردانی ماڵپەڕ بینین لە A' Design Award ڕاگەیاندنی چاپەمەنی نیشانەی خەڵات

ڕەنگەکان

دیزاینەکە

دەربارەی Soulnest Sepana Mobîl

Soulnest sepaneke mobîl e ku ji bo piştgiriya tenduristiya derûnî hatiye afirandin. Ev sepan hevalekî zîrekiya sûnî pêşkêş dike ku bikarhêneran di çar gavan de rêber dike: hilbijartina heval, nirxandin, dermankirin û rehetkirina krîzê. Analîza rû û hestkirina lêdana dil dihêle ku heval awaz û rêberiya xwe di dema rast de biguncîne. Rêbazên dermankirina behreyî ya nasînî (CBT) tên bikaranîn da ku alîkariya bikarhêneran bike ku stresa hestyarî birêve bibin. Hemû pêvajokirin li ser cîhazê pêk tê, ji ber vê yekê sepan bêyî înternetê dixebite û daneyên kesane bi taybetî diparêze.

پێناسەکردن

دەربارەی Xelata A' Design Award a Hesinîn

Soulnest Sepana Mobîl xelatgirê Xelata A' Design Award a Hesinîn e, nasîneke bi prestîj ku ji sêwiranên baş re tê dayîn, yên ku pêdiviyên pîşeyî û pîşesaziyê yên ku ji afirandinên baş hatine sêwirandin têne hêvîkirin tînin cih. Xelatgirên Hesinînê jêhatîbûna mezin, pisporiya bilind, têgihiştina pisporî û kapasîteya afirîner a afirînerên xwe nîşan didin. Tê hêvîkirin ku Soulnest Sepana Mobîl afirandineke pir hatiye rêzgirtin, sitayişkirin û delal, pratîkî û nûjen be. Ev sêwirana bi Hesinînê serketî pratîkên çêtirîn ên pîşesaziyê yekgirtî dike û xwedî taybetmendiyên teknîkî yên jêhatî ye ku bi zanîn û jêhatîbûnê ve girêdayî ne. Soulnest Sepana Mobîl ji ber baldariya xwe tê rêzgirtin û hatiye sêwirandin da ku kalîteya jiyanê baştir bike û alîkariya çêtirkirina dinyayê bike.

لە پشت دیزاینەوە

کیتی چاپەمەنی

باوەڕپێکراوەکان، ئەندامانی تیم و وردەکاری تەکنیکی کە لەلایەن دیزاینەرەوە پێشکەش کراون.

تایبەتمەندییە تایبەتەکان: 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.
قەبارە و پاکێج: 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.
تاگەکان: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
تەکنەلۆژیای بەرهەمهێنان: 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.
هەڵەنگاندنی دیزاین: 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.
توێژینەوە: 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.
ئیلهام: 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.
ماوەی پڕۆژە: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
ڕێڕەوی کارکردن: 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.
ئەندامانی تیم: Yixuan Song
Jiahui Yu
Xianxi Liao