Insightnest Asnas n Usefrek n Ugbur sɣur Magic Trio

Insightnest Asnas n Usefrek n Ugbur sɣur Magic Trio d anerbaz yettwaqadren meqqren n 2024 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Useɣẓan.

UzzalAseɣẓan· 2024

Insightnest Asnas n Usefrek n Ugbur

sɣur Magic Trio

Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Aseɣẓan

13,231

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #157317

Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Insightnest Asnas n Usefrek n Ugbur

Insightnest yesseqdac tasezniqt tusnakant i weserwes n usefrek n ugbur, yesmallem, yesleḍ, yerna yesseggez isefka seg yiɣbula d telɣiwin n yifuyla yemgaraden. S tfernanin n usefrek udmawan d ugzul n ugbur s tasezniqt tusnakant, yesnerni tazrirt d tneflit deg usseqdec d ufares n ugbur, yettmuddun i yisuten yettjadden n yiseqdacen.

Asmekti

Ɣef Tarbaḥt A' Design Award n Uzzal

Insightnest Asnas n Usefrek n Ugbur d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Insightnest Asnas n Usefrek n Ugbur ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: The project offers a unique, personalized system for efficient content management and creation. It enables users to aggregate, analyze, and categorize content from various sources and file types. Users can organize data manually or automatically and benefit from AI-driven content summarization and trend analysis. This platform serves as a comprehensive tool for managing the entire information lifecycle, enhancing productivity and fostering creativity in content consumption and generation.
Tigejdiwin & Akemmus: 1512px * 982px, Web App, Web Extension
Tibzimin: AI, UX, SaaS
Tasnakta n Ufares: Insightnest is driven by advanced AI algorithms, natural language processing (NLP), machine learning models, and big data analytics. Leveraging cloud computing infrastructure, our system employs distributed computing to handle large-scale content aggregation and analysis efficiently. The development process involved rigorous testing and refinement of algorithms to ensure accuracy in content categorization, summarization, and trend analysis. Methodologies such as agile development facilitated iterative improvements, allowing for seamless integration of user feedback and continuous enhancement of features. Ultimately, Insightnest represents a sophisticated fusion of cutting-edge technologies aimed at revolutionizing content management and creation.
Asewḥel n Usnulfu: We encountered the challenge of managing users' unrealistic expectations for the new AI tool. We closely coordinated with our development team to refine our solutions. User testing revealed that the complexity of AI processing led to a steep learning curve. This highlighted the need for an effective onboarding strategy and educational materials to demystify AI functionalities. Our focus shifted to simplifying user experience and enhancing understanding of AI processes.
Anadi: Our research focuses on using AI to simplify daily tasks. Initial user research assessed perceptions of AI tools, guiding feature development in collaboration with developers. Competitor analysis provided market insights, helping to distinguish our product's unique value. User testing was conducted to gauge user response. These insights emphasized the importance of a user-friendly interface and effective onboarding, highlighting the role of UX design in creating an intuitive platform.
Aseḥbiber: Inspired by the information overload and fear of missing out in the digital age, this project aims to be a cyber secretary, organizing and concentrating valuable data for easy retrieval. It goes beyond typical AI platforms by integrating an AI chatbox for specific requests and AI-generated content recommendations. User research and prototype testing have refined the interface, creating a user-friendly AI tool for efficient information management and personalized content delivery.
Tanzagt n Usenfar: The project started in November 2023 in New York City and Seattle and started the development in December 2023.
Tanila n Umahil: Users first save diverse content to the platform, including uploads from local devices, screenshots, and web links. The platform then assists in organizing this content by processing the content in the background, offering additional support when needed. Users can easily retrieve content by searching with keywords or interacting with a chatbot. As the user's content library grows, the AI recommends related material, tailored to their interests and activities.
Igmamen n Terbaɛt: UX Designer: Yuanyuan (Nicole) Song
UX Designer: Mingjia (Joyce) Yu
UX Designer: Xiyan (Christine) Wang
Imsuren n Tugniwin: UX Designer: Yuanyuan (Nicole) Song
UX Designer: Mingjia (Joyce) Yu
UX Designer: Xiyan (Christine) Wang