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Soulnest Applikazzjoni Mobbli by Yixuan Song and Jiahui Yu

Soulnest Applikazzjoni Mobbli by Yixuan Song and Jiahui Yu is a highly esteemed winner of the very prestigious 2026 Premju A' Design Award tal-Ħadid in Disinn tat-Teknoloġiji Mobbli, Applikazzjonijiet u Software Competition Category.


ĦadidMobbli· 2026

Soulnest Applikazzjoni Mobbli

by Yixuan Song and Jiahui Yu

Client: SoulNest

Premju A' Design Award tal-Ħadid Winner in Mobbli Category

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Verified Award Winner

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Colors

The Design

About Soulnest Applikazzjoni Mobbli

Soulnest hija applikazzjoni mobbli maħluqa biex tappoġġja l-benesseri mentali. L-applikazzjoni toffri kumpann tal-intelliġenza artifiċjali li jiggwida lill-utenti permezz ta' erba' passi: l-għażla tal-kumpann, il-valutazzjoni, it-terapija u s-sollev fi żmien ta' kriżi. L-analiżi tal-wiċċ u s-sensing tar-rata tal-qalb jippermettu lill-kumpann jadatta t-ton u l-gwida tiegħu f'ħin reali. Jintużaw metodi ta' terapija konjittiva komportamentali biex jgħinu lill-utenti jimmaniġġjaw l-istress emozzjonali. L-ipproċessar kollu jsir fuq l-apparat innifsu, għalhekk l-applikazzjoni taħdem offline u żżomm id-data personali privata.

The Recognition

About the Premju A' Design Award tal-Ħadid

Soulnest Applikazzjoni Mobbli huwa rebbieħ tal-Premju A' Design Award tal-Ħadid, rikonoxximent prestiġjuż mogħti lil disinji tajbin li jissodisfaw ir-rekwiżiti professjonali u industrijali mistennija minn ħolqien imfassal tajjeb. Ir-rebbieħa tal-Ħadid juru l-ħila kbira, l-ispeċjalizzazzjoni għolja, il-fehim espert u l-kapaċità kreattiva tal-ħallieqa tagħhom. Huwa mistenni li Soulnest Applikazzjoni Mobbli ikun ħolqien imqabbar ħafna, mammirat u maħbub li huwa prattiku u innovattiv. Dan id-disinn rebbieħ tal-Ħadid jintegra l-aħjar prattiki tal-industrija u għandu karatteristiċi tekniċi kompetenti marbuta mal-għarfien u t-talent. Soulnest Applikazzjoni Mobbli huwa rispettat għall-eżattezza tiegħu u mfassal biex itejjeb il-kwalità tal-ħajja u jgħin jagħmel id-dinja post aħjar.

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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