Soulnest Ngwa Ekwentị nke Yixuan Song and Jiahui Yu

Ihe emepụtara bụ Soulnest Ngwa Ekwentị nke Yixuan Song and Jiahui Yu bụ onye meriri a na-asọpụrụ nke ukwuu nke 2026 Ihe Nrite A' Design Award nke Igwe na Udi Asọmpi Nhazi Teknụzụ Mkpanaka, Ngwa na Sọftụwia.

IgweMkpanaka· 2026

Soulnest Ngwa Ekwentị

nke Yixuan Song and Jiahui Yu

Onye Ahịa: SoulNest

Onye Meriri Ihe Nrite A' Design Award nke Igwe na Udi Mkpanaka

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Onye Meriri Onyinye A Kwadoro

Nyochaa Ọnọdụ Onyinye maka #182422

Gaa Saịtị Lee na A' Design Award Akụkọ Mgbasa Ozi Akara Onyinye

Agba

Nhazi a

Maka Soulnest Ngwa Ekwentị

Soulnest bụ ngwa ekwentị e mepụtara iji kwado ahụike uche. Ngwa a na-enye enyi ọgụgụ isi nkeonwe (artificial intelligence) nke na-eduzi ndị ọrụ site na usoro anọ: nhọrọ enyi, ntule, ọgwụgwọ na enyemaka mgbe nsogbu dị egwu. Nyocha ihu na nlele ọnụọgụ obi na-eme ka enyi ahụ gbanwee ụda olu ya na nduzi ya ozugbo. A na-eji usoro ọgwụgwọ omume echiche (cognitive behavioral therapy) enyere ndị ọrụ aka ijikwa nrụgide mmetụta uche. Nhazi niile na-ewere ọnọdụ n'ime ngwaọrụ ahụ, ya mere ngwa a na-arụ ọrụ na-enweghị ịntanetị ma na-echekwa data onwe onye ka ọ bụrụ ihe nzuzo.

Nkwanye Ugwu

Maka Ihe Nrite A' Design Award nke Igwe

Soulnest Ngwa Ekwentị meriri A' Design Award nke Igwe, nnabata dị ugwu e nyere design ndị dị mma nke na-emezu ihe ndị a chọrọ n'ọrụ na ụlọ ọrụ nke a na-atụ anya n'ihe e kere eke ndị e mere nke ọma. Ndị meriri na Igwe na-egosi nka buru ibu, ọkachamara dị elu, nghọta ọkachamara na ikike imepụta nke ndị kere ha. A na-atụ anya na Soulnest Ngwa Ekwentị ga-abụ ihe e kere eke a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya nke bụ ihe bara uru ma dị ọhụrụ. Design a meriri A' Design Award nke Igwe na-ejikọta ụzọ kacha mma nke ụlọ ọrụ ma nwee àgwà teknụzụ kwesịrị ekwesị jikọtara na ihe ọmụma na talent. A na-asọpụrụ Soulnest Ngwa Ekwentị maka nlezianya ya ma e mere ya ka ọ nye mmeziwanye ndụ nke na-enyere aka ime ka ụwa bụrụ ebe ka mma.

N'azụ Nhazi a

Ngwugwu Mgbasa Ozi

Nkwurịta okwu, ndị otu na nkọwa teknụzụ nke onye nhazi nyere.

Àgwà Pụrụ Iche: 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.
Nha & Mkpuchi: 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.
Mkpado: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Teknụzụ Mmepụta: 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.
Ịma Aka Imepụta: 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.
Nchọpụta: 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.
Mkpali: 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.
Oge Ọrụ: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Usoro Ọrụ: 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.
Ndị Otu: Yixuan Song
Jiahui Yu
Xianxi Liao