Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone sɣur Zhiwen Qian, Wenbo Guo and Ding Li

Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone sɣur Zhiwen Qian, Wenbo Guo and Ding Li d anerbaz yettwaqadren meqqren n 2025 Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Tnaflit n Afeṣṣel n Ufaris Umḍin.

LbrunzAfaris Umḍin· 2025

Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone

sɣur Zhiwen Qian, Wenbo Guo and Ding Li

Amsaɣ: AirChef

Anerbaz n Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Afaris Umḍin

24,799

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #168529

Rzu ɣer usmel Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone

Aḍris n Tektabt: Airchef d ameslay n uwessel n wučči s drone i yettwaxedmen i medden ur nesɛi ara akud ameqqran i uheggi n wučči. Wučči yettwafren seg usnas n tiliɣri, drones ttawin-t s ɣur tewwurt srid. Drones ttafgen war anaẓur, ttɛeddin i wid izemren ad ten-ɛeṭṭlen, ttmsassan akked twaledyawin n ansuf. Isebter n karbun (carbon fiber composites) ttḥazen drones fessusen daɣen yeǧhden, ma d ilugan n usegzi n webrid ssenqasen tiddi n webrid n uwessel. Aḍfar yemyugen yeǧǧa yal awessel ad yettwaḍfar deg wakud n tidet. Ameslay-agi yesseqqar tuttra n tirziwin ɣer tḥanut n učči akked uheggi n wučči deg wexxam.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lbrunz

Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Airchef Tawuri Tagejdant: Ameslay n Uwessel n Wučči s Drone yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

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

Taɣara Tasuft: AirChef Is a Drone-Enabled Meal Preparation Service Designed To Assist Busy Individuals in Planning Their Weekly Meals. By Offering Consistent and Convenient Food Delivery, AirChef Helps Save Valuable Time.
Tigejdiwin & Akemmus: non-physical designs: 3840*2160
Tibzimin: Drone, Real-time Tracking, AI Driven Algorithms, Meal Preparation Service, Health
Tasnakta n Ufares: The Design of Airchef Was Developed Using a Human Centered Design Approach, Focusing on User Pain Points like Time Constraints and Meal Planning Fatigue. We Employed Design Thinking Methodologies, Including User Personas, Journey Mapping, and Iterative Prototyping, to Refine the Service. For the Drone System, Cad Modeling and Simulation Tools Were Used to Optimize Aerodynamics and Payload Capacity. Materials like Carbon Fiber Composites Ensure Lightweight Durability, While Ai Driven Algorithms Enhance Route Optimization and Meal Personalization. The Integration of Iot Enables Real-time Tracking and Seamless User Interaction via the App.

Key Terms, Human Centered Design, Ai Driven Route Optimization, Cad Modeling, Iot Integration, Carbon Fiber Composites, Meal Personalization, Real-time Tracking, Drone Technology, Aerodynamics, Iterative Prototyping.
Asewḥel n Usnulfu: The Hardest Part of Designing AirChef Was Balancing Technical Feasibility With User-Centric Innovation. Overcoming Airspace Restrictions, Safety Certifications, and Engineering Challenges Like Meal Freshness and Payload Capacity Was Crucial. Limited Battery Life and Weather Affected Reliability. Solutions Included AI-Driven Route Optimization, Lightweight Materials, and Local Kitchen Partnerships, Ensuring Scalability, Efficiency, and a User-Friendly, Future-Ready Food Delivery System.
Anadi: Type of Research: Mixed-Methods Approach Combining Qualitative and Quantitative Analysis.
Research Objectives: Understand Meal Planning Challenges and Explore Drone Technology’s Role in Food Delivery.
Methodology: Used Design Thinking, User Interviews, Surveys, and Prototyping.
Data Collection & Tools: 200+ Interviews, Google Forms, SPSS, CAD Modeling, Drone Simulations.
Results: Reduced Meal Prep Time by 70%, Improved Work-Life Balance, and Lowered Carbon Footprint.
Aseḥbiber: We Use Drones To Get Your Food Delivered. It is a New Concept. We Try to Corporate the Drone With Current Food Delivery Product and Make More Specializations.
Tanzagt n Usenfar: 6 Months And Los Angeles
Tanila n Umahil: AirChef Is Simple To Use. Customers Select Meals via a User-Friendly App, and Drones Deliver Them Directly to Their Doorstep. The Drones Fly Autonomously, Avoiding Obstacles and Adapting To Weather Conditions. Interaction Happens Through the App, Where Users Track Deliveries in Real Time. The System Saves Time by Eliminating Grocery Trips and Meal Prep, Offering Fresh, Chef-Prepared Meals Tailored to Dietary Needs. Its Efficiency Comes From Smart Route Planning and Lightweight, Durable Design, Ensuring Faster, Eco-Friendly Deliveries Compared to Traditional Methods.
Ibrivan: N/A
Igmamen n Terbaɛt: Zhiwen Qian
Yao Li
Xianxi Liao
Jingyi Zhu
Meng Lan
Yuhan Liu
Zhijun Song
Ye Tian
Imsuren n Tugniwin: Zhiwen Qian