Hive AI Madal Khariidaynta Aqoonta oo uu sameeyey Hive AI

Naqshadda Hive AI Madal Khariidaynta Aqoonta oo uu sameeyey Hive AI waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Isdhexgalka, Iskaashiga iyo Waayo-aragnimada Isticmaalaha ee 2025 Abaalmarinta Lacagta ah ee A' Design Award.

LacagIsdhexgal· 2025

Hive AI Madal Khariidaynta Aqoonta

Hive AI uu sameeyay

Macmiilka: Hive AI

Ku Guuleystaha Abaalmarinta Lacagta ah ee A' Design Award ee Qaybta Isdhexgal

59,042

Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #169652

Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Hive AI Madal Khariidaynta Aqoonta

Hive AI waa madal khariidaynta aqoonta oo loogu talagalay ardayda, xirfadlayaasha, iyo cilmi-baarayaasha. Madashani waxay isticmaashaa qanjidhada aqoonta ee lix-geesle si ay macluumaadka kala firidhsan ugu habayso aqoon isku xidhan. Isticmaalayaashu waxay soo geliyaan qoraal, muuqaallo, iyo sawirro, halka sirdoonka macmalka ah uu soo jeediyo xidhiidhyo, uu isku ururiyo waxyaabaha isku xidhan, uuna caddeeyo meelaha ka maqan. Hagitaan aan toos ahayn ayaa taageera sahamin xor ah halkii laga isticmaali lahaa waddooyin go'an oo su'aal iyo jawaab ah. Qaabab muuqaal ah, sida jadwallada taariikheed iyo khariidadaha lix-geesle ee saddex-geesoodka ah, ayaa aqoonta si cad u soo bandhiga. Interface jawaab-celin leh ayaa taageera mowduucyada iftiinka iyo mugdiga.

Aqoonsiga

Wax ku saabsan Abaalmarinta Lacagta ah ee A' Design Award

Hive AI Madal Khariidaynta Aqoonta waa guuleystaha Abaalmarinta Lacagta ah ee A' Design Award, aqoonsi sharaf aad u sarreeya oo la siiyo naqshado heerka ugu sarreeya oo quruxsan oo soo jiidasho leh. Guuleystayaasha Lacagta waa shaqooyin aad u dhalaalaya iyo hal-abuur sare leh oo muujiya khibrad, hibo iyo hufnaan naqshadeeyayaashooda. Hive AI Madal Khariidaynta Aqoonta waa shaqo la filayo inay noqoto shaqo quruxsan oo tusaale ah, xirfad cad leh oo hal-abuur qoto dheer leh. Naqshadahan ku guuleystay Abaalmarinta Lacagta ah ee A' Design Award waa hal-abuur aad loo dareemo oo la ammaano, waxtar leh oo hormariya xuduudaha farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada. Hive AI Madal Khariidaynta Aqoonta waa hal-abuur dad badan ay doonayaan, kicisa rabitaanno, keena dareenno wanaagsan oo abuura yaab.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: Hive AI is a transformative learning platform that enables learners to build personalized knowledge systems. With the unique “hexagon knowledge nodes” and AI-driven tools like tailored recommendations, knowledge grouping, and dynamic data visualization, Hive supports students, professionals, and researchers in fostering interdisciplinary exploration and managing complex information.
Cabbirka & Qaabaynta: Designed for adaptability, efficiency, and reliability, the platform features a responsive interface optimized for various screen sizes, supporting landscape and portrait modes. Users can personalize their experience with light and dark themes, while cross-device compatibility ensures accessibility. AI-driven adaptability enhances learning preferences, providing real-time interactions with secure performance. Hive AI integrates technical precision with user-friendly design, delivering a dynamic, intuitive experience tailored to individual needs.
Summado: Geneartive AI, Adaptive Learning, Personalization, Ed-Tech, Non-linear Interaction, Data Visualization
Tiknoloojiyada Soo Saarka: Hive AI's technology was developed through an iterative, data-driven approach leveraging advanced neural networks. The product mission guided development, ensuring the machine learning framework effectively organizes users' thoughts into structured knowledge. Rigorous testing and refinement perfected the node-based architecture for seamless non-linear exploration. The final system prioritizes adaptability, efficiency, and reliability, empowering users with a dynamic, personalized learning experience.
Caqabadda Naqshadda: How can node-based interactions feel as intuitive as conversation-based AI? This challenge explores motion design, iconography, and cognitive flow for seamless user adaptation. By researching existing node-based systems, the effectiveness in guiding eye movement and mental mapping was evaluated, identifying both strengths and gaps. Through user testing, motion and icons for clarity and usability were refined. The goal is to create a visually intuitive, AI-assisted system that preserves familiar interaction patterns while enhancing how users navigate complex knowledge structures with ease and engagement.
Cilmi-baadhis: Type:
Competitive & User-Centered Design Research

Objective:
Enhance exploratory, autonomous learning with AI-powered tools.

Methodology:
Surveys, interviews, and usability testing.

Tools:
Google Forms, SurveyMonkey, Zoom, Figma prototypes.

Participants:
100 technology enthusiasts

Results:
Optimized node connection interactions.
Improved accessibility with refined UI.
Prioritized key data visualization methods.

Insights & Impact:
AI-driven design enhances learning efficiency, accessibility, and critical thinking, fostering a more engaging and effective digital education experience.
Dhiirrigelinta: Hive AI epitomizes usability, efficiency, speed, and reliability. Drawing on generative AI and mind-mapping, it transforms learning into a dynamic, personalized journey. Market research shows 78% of users find current tools limiting, revealing a major business opportunity. With elegant simplicity, fluid design, and smart organization, Hive AI redefines learning and unleashes creativity.
Muddada Mashruuca: Research - 1 Month

Concept and Prototyping - 2 Months
Design Finalization - 1.5 Months

Evolutives & APP Development: ongoing
Socodka Hawlgalka: The system structures fragmented information into interconnected knowledge. Learners upload and organize content - text, videos, and images - and AI enhances connections and identifies gaps.

- Node Expansion builds knowledge structures based on interests.
- Gap Bridging links concepts for deeper understanding.
Structured Organization groups information for easier memorization.
- Nonlinear Exploration enables dynamic navigation.

Hive AI also provides visual templates, like historical timelines and 3D hexagonal maps, making knowledge presentation more intuitive and effective.
Shatiyada: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen
Xubnaha Kooxda: Yongwen Dai
Xuefei Wang
Keqing (Clara) Jiao
Hanyong Yang
Huiyang Chen
Amaanta Sawirrada: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen