Soulnest Rindranasa Finday nataon'i Yixuan Song and Jiahui Yu

Ny endrika Soulnest Rindranasa Finday nataon'i Yixuan Song and Jiahui Yu dia mpandresy sarobidy amin'ny 2026 A' Design Award Vy amin'ny Sokajin'ny Fifanintsanana Famolavolana Teknolojia Finday, Fampiharana ary Rindrambaiko.

VyFinday· 2026

Soulnest Rindranasa Finday

nataon'i Yixuan Song and Jiahui Yu

Mpanjifa: SoulNest

Mpandresy A' Design Award Vy amin'ny Sokajy Finday

6,670

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #182422

Tsidiho ny Tranonkala Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Soulnest Rindranasa Finday

Soulnest dia rindranasa finday noforonina hanohanana ny fahasalamana ara-tsaina. Manolotra namana miorina amin'ny faharanitan-tsaina artifisialy ity rindranasa ity, izay mitarika ny mpampiasa amin'ny dingana efatra: fisafidianana ny namana, fanombanana, fitsaboana ary fanamaivanana krizy. Ny famakafakana ny endrika sy ny fandrefesana ny fitempon'ny fo dia mamela ilay namana hanitsy ny feony sy ny toroheviny amin'ny fotoana tena izy. Ampiasaina ny fomba fitsaboana ara-tsaina sy fitondran-tena (cognitive behavioral therapy) hanampiana ny mpampiasa hifehy ny adin-tsaina ara-pihetseham-po. Ny fikirakirana rehetra dia atao ao anatin'ny fitaovana ihany, ka miasa tsy misy aterineto ny rindranasa ary mitazona ny angon-drakitra manokana ho tsiambaratelo.

Ny Fankasitrahana

Momba ny A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Soulnest Rindranasa Finday, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Soulnest Rindranasa Finday. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Soulnest Rindranasa Finday dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Fizotr'asa: 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.
Mpikambana ao amin'ny Ekipa: Yixuan Song
Jiahui Yu
Xianxi Liao