Soulnest Sesebediswa sa Mohala by Yixuan Song and Jiahui Yu is a highly esteemed winner of the very prestigious 2026 Moputso oa Tšepe oa A' Design Award in Moralo wa Theknoloji ya Mehala, Diaplikeishene le Softwere Competition Category.
TšepeMohala· 2026
Soulnest Sesebediswa sa Mohala
Client: SoulNest
Moputso oa Tšepe oa A' Design Award Winner in Mohala Category
Verified Award Winner
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About Soulnest Sesebediswa sa Mohala
Soulnest ke sesebediswa sa mohala se entsweng ho tshehetsa bophelo bo botle ba kelello. Sesebediswa sena se fana ka motsoalle wa bohlale ba maiketsetso ya tataisang basebedisi mehatong e mene: kgetho ya motsoalle, tekolo, kalafo le phomotso ya tsietsi. Manollo ya sefahleho le ho lemoha lebelo la pelo di dumella motsoalle enwa ho fetola molumo wa hae le tataiso ya hae ka nako ya sebele. Mekgwa ya kalafo ya boitshwaro ba kelello e sebediswa ho thusa basebedisi ho laola kgatello ya maikutlo. Tshebetso yohle e etsahala hodima sesebediswa, kahoo sesebediswa se sebetsa ntle le marangrang mme se boloka lesedi la botho le sireletsehile.
The Recognition
About the Moputso oa Tšepe oa A' Design Award
Soulnest Sesebediswa sa Mohala ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Soulnest Sesebediswa sa Mohala e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Soulnest Sesebediswa sa Mohala e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.
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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