Soulnest Ohun Èlò Alágbèéká by Yixuan Song and Jiahui Yu

Soulnest Ohun Èlò Alágbèéká by Yixuan Song and Jiahui Yu is a highly esteemed winner of the very prestigious 2026 Àmì-ẹ̀yẹ Irin A' Design Award in Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Alágbèéká, Ohun-èlò Fóònù àti Sọ́fítíwéà Competition Category.

IrinAlágbèéká· 2026

Soulnest Ohun Èlò Alágbèéká

by Yixuan Song and Jiahui Yu

Client: SoulNest

Àmì-ẹ̀yẹ Irin A' Design Award Winner in Alágbèéká Category

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The Design

About Soulnest Ohun Èlò Alágbèéká

Soulnest jẹ́ ohun èlò alágbèéká tí a ṣẹ̀dá láti ṣe àtìlẹ́yìn fún ìlera ọpọlọ. Ohun èlò yìí ń pèsè alábàákẹ́gbẹ́ oye atọwọ́dá tí ó ń darí àwọn olùlò kọjá ìgbésẹ̀ mẹ́rin: yíyàn alábàákẹ́gbẹ́, ìgbéléwọ̀n, ìtọ́jú àti ìtura nínú àkókò ìdààmú. Ìtúpalẹ̀ ojú àti ìwọ̀n ìlù ọkàn ń jẹ́ kí alábàákẹ́gbẹ́ náà lè ṣe àtúnṣe sí ohùn rẹ̀ àti ìdarí rẹ̀ ní àkókò gidi. A ń lo àwọn ọ̀nà ìtọ́jú ìhùwàsí ọpọlọ láti ràn àwọn olùlò lọ́wọ́ láti ṣàkóso wàhálà ìmọ̀lára. Gbogbo ìṣiṣẹ́ ń wáyé lórí ẹ̀rọ náà fúnra rẹ̀, nítorí náà ohun èlò yìí ń ṣiṣẹ́ láìsí ìsopọ̀ ayélujára ó sì ń pa dátà ti ara ẹni mọ́ ní àṣírí.

The Recognition

About the Àmì-ẹ̀yẹ Irin A' Design Award

Soulnest Ohun Èlò Alágbèéká jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Soulnest Ohun Èlò Alágbèéká yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Soulnest Ohun Èlò Alágbèéká nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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 & Packaging: 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.
Tags: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Operation Flow: 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.
Team Members: Yixuan Song
Jiahui Yu
Xianxi Liao