Xiaoshi Dai, Di Xia and Feifan Gao tomonidan Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti

Xiaoshi Dai, Di Xia and Feifan Gao tomonidan yaratilgan Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti — Raqamli Mahsulot Dizayni tanlov toifasida nufuzli 2026 A' Design Award Temir Mukofoti mukofotining yuqori baholangan g'olibidir.

TemirRaqamli Mahsulot· 2026

Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti

muallif: Xiaoshi Dai, Di Xia and Feifan Gao

Mijoz: Sprounix

Raqamli Mahsulot toifasida A' Design Award Temir Mukofoti g'olibi

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Dizayn

Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti haqida

Kitob matni: Sprounix — bu murakkab ish topshirish jarayonini suhbat asosidagi foydalanuvchi tajribasi (UX) orqali soddalashtirish uchun mo'ljallangan sun'iy intellektga asoslangan interfeys. Ariza topshirishdan charchash muammosini hal qilish maqsadida, dizayn statik shakllar o'rniga tabiiy muloqot orqali yumshoq ko'nikmalarni qamrab oluvchi ko'p modallikdagi chat interfeysini taklif etadi. Foydalanuvchi interfeysi real vaqt rejimida suhbat (intervyu) bo'yicha murabbiylik va shaffof vazifa kuzatuvini ta'minlovchi ravon Co-pilot boshqaruv panelini o'z ichiga oladi. Agentdan-agentga protokollarini integratsiya qilish orqali tizim orqa fon muzokaralarini avtomatlashtiradi va foydalanuvchilarga soddalashtirilgan, stressdan xoli o'zaro ta'sir modeli orqali yuqori chastotali arizalarni boshqarish imkonini beradi.

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A' Design Award Temir Mukofoti haqida

Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. Sprounix Asosiy vazifa: Sun'iy intellektga asoslangan karyera agenti puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: Sprounix is a chat-centric AI Career Agent that transforms job seeking into a multimodal interactive journey. Beyond static resumes, it uses text and video dialogue to uncover soft skills and aspirations. A key innovation is the Agent2Agent A2A technology, enabling the user’s agent to communicate directly with recruiter systems for hyper-efficient matching. It also provides automated applications and real-time interview coaching, acting as a proactive career advocate.
O'lchamlar va qadoqlash: Sprounix is a cloud-based, responsive web platform compatible with all modern browsers. It supports multi-modal inputs including WebRTC video, voice-to-text, and PDF parsing. The matching engine achieves over 85% accuracy by moving beyond keywords to multi-dimensional intent recognition. The system adheres to WCAG 2.1 accessibility and enterprise-grade security standards, ensuring full GDPR compliance for encrypted candidate data protection.
Teglar: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Ishlab chiqarish texnologiyasi: Built on a robust AI infrastructure using Large Language Models (LLM) for natural language understanding and multi-modal analysis. The core innovation is the Agent2Agent (A2A) communication protocol that streamlines data exchange between independent AI entities. The system features a responsive React-based front-end for seamless cross-platform use, integrated with real-time video processing and scalable microservices to handle high-frequency job matching and data sync.
Dizayn muammosi: The primary challenge was designing a seamless UX for the complex Agent2Agent backend. We had to ensure users felt in control while their AI agent performed proactive tasks like autonomous applications. We solved this by creating a highly intuitive, chat-first interface that provides transparent "Co-pilot" updates. Integrating multi-modal inputs (text and video) while maintaining a consistent, supportive AI persona across all platforms was a significant technical and design obstacle we overcame.
Tadqiqot: Our research explored the Job Search Anxiety among early career talents and the inefficiencies of keyword-based recruitment. We used a mixed-methods approach, including more than fifty user interviews and data analysis of traditional ATS systems. The results showed that users provide forty percent more detailed skill data via natural dialogue than static forms. This led to the development of our Chat-centric discovery interface and the Agent2Agent matching protocol, which proved to reduce initial screening time by seventy percent in pilot tests.
Ilhom: The inspiration came from the challenging labor market faced by Gen Z. Traditional job hunting is often repetitive and discouraging. We wanted to create a "Co-pilot" that doesn't just list jobs but actively advocates for the user. By combining AI-driven matching with a friendly, gamified experience, we aimed to lower the anxiety of career-starting and make professional growth feel like a guided, empowered journey.
Loyiha muddati: The project conceptualization started in January 2025 in the United States. Following intensive research and UX prototyping of the conversational engine, the beta version of the platform was developed and finalized in late 2025.
Ish jarayoni: The experience centers on a conversational interface where users engage with the AI via text or video. This chat-first approach replaces traditional forms, building a deep professional profile. Once the agent understands the candidate's goals, it leverages A2A protocols to negotiate with recruiter agents and automate applications. The co-pilot remains active throughout, providing instant feedback and resume tailoring via a fluid UI.
Jamoa a'zolari: Xiaoshi Dai
Feifan Gao
Di Xia
Rasm mualliflari: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao