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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.

15 weeks long
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.

Problem

  •  With the rise in food cost, maximizing and saving money is the focus of consumers
     

  • People are working more hours now than previous generations, leading to a lack of time to make and plan meals. 
     

  • Coming up with suitable meal ideas can be costly and time consuming.

Solution

  • A Mobile app that will generate possible recipes for the user based on ingredients available
     

  • Customizable based on users dietary preferences.
     

  • Easy and Intuitive
     

  • Seamless Experience

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. With its user-friendly interface and comprehensive functionality, this innovative tool simplifies meal planning and encourages culinary experimentation, making cooking enjoyable and accessible for users of all skill levels. Whether seeking inspiration for a weeknight dinner or exploring new flavor combinations, this app is a virtual sous chef, guiding users through a world of culinary possibilities quickly and confidently.

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Research

Researching an AI-based cooking application involves several key
steps to ensure thorough investigation and understanding.

1. Define 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.

2. Technology & Literature Research 

Conduct a comprehensive review of existing literature, articles, academic papers, and industry reports related to AI in cooking and culinary applications. 

3. User Experience Evaluation 

Assess the user experience of AI cooking apps by downloading and testing them firsthand. Pay attention to the app's interface design, ease of navigation, recipe suggestions, customization options, and integration with other platforms or devices.

4. Market Analysis

Conduct a market analysis to understand the demand for AI-based cooking applications, consumer preferences, and emerging trends. Identify potential gaps or unmet needs in the market that AI technology can address.

5. Future Outlook 

Finally, the research findings will be synthesized to identify opportunities for innovation and future development in AI-based cooking applications.

Technology

Text-to-Text 

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.

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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 

2. Literature Review

Conduct a comprehensive review of existing literature, articles, academic papers, and industry reports related to AI in cooking and culinary applications. 

3. Wire frame 

I started the low fidelity wireframe two weeks in.

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I started the low fidelity wireframe four weeks in.

4. high fidelity

5. Future Outlook 

Finally, the research findings will be synthesized to identify opportunities for innovation and future development in AI-based cooking applications.

Market analyst

Summary 

  • Audience: 18-36 age range 

  • Four month development timeline

  • Freemium pay model / Premium Pay Model

  • 5 major roll out area on the east coast-> Expand to West coast in Year 2

  • A target market of $20 million 

  • Expected CAGR of 13.21%.

  • A transformer is our base architecture 

  • 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.

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My work

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