Umushinga Soulnest Porogaramu ya Telefoni Ngendanwa wa Yixuan Song and Jiahui Yu ni uwatsinze igihembo cyubahwa cyane 2026 Igihembo cya A' Design Award cy'icyuma mu Cyiciro cy'Ihiganwa cya Telefoni Igendanwa.
IcyumaTelefoni Igendanwa· 2026
Soulnest Porogaramu ya Telefoni Ngendanwa
Umukiriya: SoulNest
Uwatsinze Igihembo cya A' Design Award cy'icyuma mu Cyiciro cya Telefoni Igendanwa
Uwatsinze Igihembo Yemejwe
Emeza Uko Igihembo Gihagaze ku #182422Imigereranyo
Ibyerekeye Soulnest Porogaramu ya Telefoni Ngendanwa
Soulnest ni porogaramu ya telefoni ngendanwa yakozwe kugira ngo ishyigikire ubuzima bwiza bwo mu mutwe. Iyi porogaramu itanga umufasha ukoresha ubwenge bw'ubukorano uyobora abayikoresha mu ntambwe enye: guhitamo umufasha, isuzuma, ubuvuzi no gutabara mu bihe by'amakuba. Isesengura ry'uburanga n'ipimwa ry'umuvuduko w'umutima bituma umufasha ahuza ijwi rye n'ubuyobozi bwe ako kanya. Uburyo bw'ubuvuzi bwo guhindura imitekerereze n'imyitwarire (Cognitive Behavioral Therapy) bukoreshwa mu gufasha abakoresha gucunga umuhangayiko w'amarangamutima. Itunganywa ryose rikorerwa ku gikoresho ubwacyo, ku buryo porogaramu ikora idakoresheje interineti kandi ikarinda amakuru bwite y'umuntu.
Ishimwe
Ibyerekeye Igihembo cya A' Design Award cy'icyuma
Soulnest Porogaramu ya Telefoni Ngendanwa ni uwegukanye Igihembo cya A' Design Award cy'icyuma, ishimwe ry'agaciro ritangwa ku bishushanyo byiza bihuza ibyo umwuga n'inganda bikeneye ku bihangano byashushanyijwe neza. Abegukanye icyuma bagaragaza ubuhanga bukomeye, ubumenyi bwihariye, imyumvire y'inzobere n'ubushobozi bwo guhanga bw'ababikoze. Soulnest Porogaramu ya Telefoni Ngendanwa biteganyijwe ko izaba igihangano cyubahwa, gishimwa kandi gikundwa, gifatika kandi gifite udushya. Iki gishushanyo cyegukanye icyuma gihuza uburyo bwiza bukoreshwa mu nganda kandi gifite ibiranga bya tekiniki bifite ubushobozi, bifatanye n'ubumenyi n'impano. Soulnest Porogaramu ya Telefoni Ngendanwa yubahwa kubera gukora neza, kandi yashushanyijwe kugira ngo inoze ubuzima, ifashe gutuma isi iba nziza.
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- Ibintu Bidasanzwe
- 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.
- Ibipimo n'Ipaki
- 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.
- Ibibazo Fatizo
- Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
- Ikoranabuhanga ryo Guteza Imbere
- 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.
- Ikibazo cy'Ishusho
- 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.
- Ubushakashatsi
- 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.
- Ibyatumye Habaho
- 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.
- Igihe cy'Umushinga
- The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
- Uburyo bw'Imikorere
- 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.
- Abagize Itsinda
- Yixuan Song
Jiahui Yu
Xianxi Liao
Byatanzwe
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