Easy Chef
My role:Product developer
Introducing our revolutionary AI-powered app and website, the ultimate culinary companion. Simply tell us your ingredients, dietary preferences, and desired cuisine style, and watch as our cutting-edge technology crafts bespoke recipes tailored to your every whim. Unleash your inner chef with confidence, as step-by-step instructions and personalized tips guide you through each dish.
Target user
The target user is a busy individual seeking quick, personalized recipe suggestions tailored to available ingredients.
5 month development time
Tool: Figma, Microsoft, Adobe
Platform: website, app
Context
My role
Craft the business plan, mange the full team and build intuitive interfaces, ensuring seamless user experiences. Personalized recipes, prioritize usability, and refine features through user feedback for continuous improvement.
What is Easy Chef?
A mobile application designed to facilitate culinary adventures by seamlessly generating a diverse array
of recipes tailored to the user's available ingredients. Leveraging advanced algorithms and expansive databases, this intuitive app empowers users to
unleash their creativity in the kitchen, transforming mundane ingredients into delectable dishes that
tantalize the taste buds.
Why AI?
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AI gave us and users a more dynamic way of interacting with the technology and allows us
to gather data in a more inefficient way.
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allow for quick and targeted solutions to users problem with food waste and management.
Problem faceing consumers
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With the rise in food cost, maximizing and saving money is the focus of consumers
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People are working more hours now than previous generations, leading to a lack of time to make and plan meals.
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Coming up with suitable meal ideas can be costly and time consuming.
Solution
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A software that will generate possible recipes for the user based on ingredients available
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Customizable based on users dietary preferences.
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Easy and Intuitive
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Seamless Experience
Research
Understanding the users need:
looking to shopping habits of consumers over a span of
4 yearsshows a rise in spending with a decrease of goods.
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Consumers felt stress and anxiety while shopping
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They wanted ways to make there go further
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average consumer waste about 30% of there food
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Over 80% of individuals surveyed felt pospositive towerds AI
Demographic:
Audience: 18-36 age range
location: East cost
income level: low to upper middle class
Research Goals
Begin by clearly defining the objectives of the research. Determine what aspects of AI-based cooking applications are needed and can be explored, such as item scanning, favorite section, AI-based video instruction, and cheap options near the user.
AI research quick breakdown:
T5, or Text-to-Text Transfer Transformer, is a Transformer based architecture that uses a text-to-text approach. Every task – including translation, question answering, and classification – is cast as feeding the model text as input and training it to generate some target text.
T5 has 11-billion parameters.
Text-to-Text
The user will input what ingredients they have and then the model will try to generate the cooking instructions for that ingredients.
UI Prototype
UI Research
The UI went through a few changes based on feedback given during, expansion on technology, and user habits. The findings concluded that users wanted a UI that allowed them to quickly access the AI features and that allowed them to see other people's recipes for inspiration. Some individuals expressed the desire to have a communication aspect but we chose to cut that feature due to possible misuse.
Phase 1
I lead the team in conducting idea generation
on sticky notes, we went throught 4 round of brain stroming on paper until we a solid foundation.
Phase 2
We begian the wire frame and user testing process on potential users.
Phase 3
We took what we learned from user testing and finalized button placement and the branding, makeing changes that increase the user experience
Added the inclusion of recipes generated by others
Change placement of AI generation bar
Evaluation: Usability testing
User testing permitters:
I looked at shopping habits of consumers over a span of
4 yearsshows a rise in spending with a decrease of goods.
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Ease of finding recipes.
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Intuitiveness of the search functionality.
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Clarity of navigation menus.
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Adaptability of the layout to different screen sizes.
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Step-by-step instructions.
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Availability of images or videos.
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Personalized recipe recommendations.
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Ability to adjust serving sizes
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Interactive grocery lists.
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Cooking timers
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ability to make good food
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Overall satisfaction with the website.
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Likelihood of users recommending the website to others.
Testers feelings:
Overall satisfaction with users were higher than expected for an initial run with the alpha version of the AI. Many users found it enjoyable to use and stright forward. As we went on we found problems were arising more due to the infancy of AI.
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Consumers felt stress and anxiety while shopping
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They wanted ways to make there go further
-
average consumer waste about 30% of there food
-
Over 80% of individuals surveyed felt pospositive towerds AI
Demographic:
Audience: 18-36 age range
location: East cost
income level: low to upper middle class
Visual Design Process
1. Branding
When crafting the branding, I wanted the app and website to feel modern and high-class, opting to use more muted colors to feel more inviting to users, with darker reds as an accent
Market analyst
Summary
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Audience: 18-36 age range
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five month development timeline
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Freemium pay model / Premium Pay Model
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5 major roll out area on the east coast-> Expand to West coast in Year 2
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A target market of $20 million
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Expected CAGR of 13.21%.
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A transformer is our base architecture
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Profit Margin: 36%
Business Model
Freemium-Incentivize customers to use application with a free model and lean on marketing ads for promotion.
Premium Subscription-Offer Premium Subscription for long term/invested Customers $15.99 Annual Purchase.
My work
