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Soulnest Programu ya Simu by Yixuan Song and Jiahui Yu

Soulnest Programu ya Simu by Yixuan Song and Jiahui Yu is a highly esteemed winner of the very prestigious 2026 Tuzo ya Chuma ya A' Design Award in Usanifu wa Teknolojia ya Simu, Programu na Programu Competition Category.


ChumaSimu· 2026

Soulnest Programu ya Simu

by Yixuan Song and Jiahui Yu

Client: SoulNest

Tuzo ya Chuma ya A' Design Award Winner in Simu Category

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The Design

About Soulnest Programu ya Simu

Soulnest ni programu ya simu iliyoundwa kusaidia ustawi wa afya ya akili. Programu hii inatoa msaidizi wa akili bandia anayewaongoza watumiaji kupitia hatua nne: kuchagua msaidizi, tathmini, tiba na msaada wa dharura. Uchambuzi wa uso na kutambua mapigo ya moyo huruhusu msaidizi kubadilisha sauti na mwongozo wake kwa wakati halisi. Mbinu za tiba ya kitabia ya kiakili hutumika kuwasaidia watumiaji kudhibiti msongo wa kihisia. Uchakataji wote hufanyika kwenye kifaa, hivyo programu hufanya kazi bila mtandao na kuhifadhi faragha ya data binafsi.

The Recognition

About the Tuzo ya Chuma ya A' Design Award

Soulnest Programu ya Simu ni mshindi wa Tuzo ya Chuma ya A' Design Award, utambuzi wenye heshima unaotolewa kwa miundo mizuri inayokidhi mahitaji ya kitaalamu na ya kiviwanda yanayotarajiwa kutoka kwa kazi zilizobuniwa vizuri. Washindi wa Chuma huonyesha ustadi mkubwa, utaalamu wa hali ya juu, uelewa wa kitaalamu na uwezo wa kibunifu wa waumbaji wao. Soulnest Programu ya Simu inatarajiwa kuwa kazi inayothaminiwa sana, kupendwa na kuenziwa, ambayo ni ya vitendo na bunifu. Muundo huu ulioshinda Tuzo ya Chuma ya A' Design Award unajumuisha mbinu bora za tasnia na una sifa za kiufundi zenye uwezo zilizounganishwa na ujuzi na kipaji. Soulnest Programu ya Simu inaheshimiwa kwa uangalifu wake na imebuniwa kutoa maboresho ya ubora wa maisha yanayosaidia kuufanya ulimwengu kuwa mahali bora zaidi.

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

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