Soulnest Tepoztlahtoltepiton Tequitiliztli ītēchcopa Yixuan Song and Jiahui Yu

Tlanāhuatīlli Soulnest Tepoztlahtoltepiton Tequitiliztli ītēchcopa Yixuan Song and Jiahui Yu cē cencā mahuizzō tēmacēhualōni īpan huēyi 2026 Mahuizolli A' Design Award Tepoztli īpan Oliniatepoztli, Tlahtolchihualli ihuan Tepoztlahtolamatl Tlachihchihualiztli Nēhuilīztli Tlamantli.

TepoztliOliniatepoztli· 2026

Soulnest Tepoztlahtoltepiton Tequitiliztli

īpal Yixuan Song and Jiahui Yu

Tlanāhuatīlli: SoulNest

Mahuizolli A' Design Award Tepoztli Tēmacēhualōni īpan Oliniatepoztli Tlamantli

6,670

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #182422

Xiquitta Tlahcuilōlcalli Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Soulnest Tepoztlahtoltepiton Tequitiliztli

Soulnest ce tepoztlahtoltepiton tequitiliztli in omochihchiuh ic tepalehuiz ipan toyolpaquiliz ihuan totlalnamiquiliz chicahualiztli. Inin tequitiliztli quitemaca ce tlamatiliztepozyollo icniuhtli in quinyacana in tequitiltiani ipan nahui ohtli: icniuhtli tlapehpeniliztli, tlatemoliztli, tepahtiliztli ihuan ohuitiliztli tlacehuiliztli. Ica ixayacatl tlaixpohualiztli ihuan yollotlatzilinaliz machiliztli, in icniuhtli huel quipatla itlahtol ihuan iteyacanaliz niman ipan cahuitl. Motequitiltia in tlalnamiquiliz-yeliztli tepahtiliztli tlamatiliztli ic quinpalehuia in tequitiltiani ma quiyecana in inyolcocoliz. Nochi in tlachihualiztli mochihua zan ipan in tepoztlahtoltepiton, ic inon in tequitiliztli tequiti in ahmo monequi matlatl ihuan quipiya ichtaca in cecen tlacatl itlamachiyotl.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Tepoztli

Soulnest Tepoztlahtoltepiton Tequitiliztli ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in Soulnest Tepoztlahtoltepiton Tequitiliztli ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. Soulnest Tepoztlahtoltepiton Tequitiliztli quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: 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.
Tōcāitl: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Tēquitl Ōhuitl: 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.
Calpolli Tlācah: Yixuan Song
Jiahui Yu
Xianxi Liao