A 0→1 product built from concept to real-world use
AI-Powered Food Management App for Reducing Household Food Waste

Role
Project lead · Research Lead · UX Design · Prototyping


Overview

AvoMate is an AI-powered food assistant that tracks ingredient freshness, sends timely reminders, and suggests recipes based on what users already have, helping reduce food waste in a simple, practical way.

As the Project Lead, I led the end-to-end design, focusing on how AI can support quick, everyday decisions in the kitchen. This project strengthened my ability to design intuitive user experiences and simplify complex systems into easy-to-use interactions.

Timeline
Jan - Mar 2025


Team
Shan Huang

Yuqi Cao


Tools
Figma, Miro, Photoshop, After Effects

In the U.S., households generate over 23 million tons of food waste each year.

Over 68% of household food waste is still edible, often caused by forgotten, misjudged, or unused ingredients.

Background

The Facts About Food Waste

In the U.S., households generate over 23 million tons of food waste each year.

Over 68% of household food waste is still edible, often caused by forgotten, misjudged, or unused ingredients.

Background

The Facts About Food Waste

In the U.S., households generate over 23 million tons of food waste each year.

Over 68% of household food waste is still edible, often caused by forgotten, misjudged, or unused ingredients.

Background

The Facts About Food Waste

The Challenge


Explore solutions that address the challenge that households often forget what’s in their fridge until food is already spoiled. Although they care about reducing food waste, they rely on memory, and most existing tools require advance planning, which doesn’t fit into busy, everyday routines.

The Challenge


Explore solutions that address the challenge that households often forget what’s in their fridge until food is already spoiled. Although they care about reducing food waste, they rely on memory, and most existing tools require advance planning, which doesn’t fit into busy, everyday routines.

Goal Statement

To design and validate a mobile application within 70 days that helps households earning less than $50,000 to 100,000 annually reduce food waste, with the potential to save approximately $728 per person per year.

Outcome

Improved ingredient visibility and reuse behaviors

Food waste

Potential savings of $728

per person per year

Cost awareness

Validated low-effort workflows

for busy households

Everyday usability

Design Process

Key Feature
The solution

Key Feature
The solution

Key Feature
The solution

Smart Inventory Input

Turn ingredient tracking into a fast and effortless experience

Scan receipts to automatically extract and add items

Capture photos to recognize and log ingredients instantly

Manually input items with a quick and simple flow

Freshness Insights & Recommendations

Turn everyday cooking decisions into clear, actionable insights

Quickly review ingredient freshness and prioritize what to use first

Highlight near-expiring items with urgency cues and suggested actions

Discover recipes based on available ingredients

Inventory Management & Control

Easily view, manage, and update your ingredients in one place

Inventory Management & Control

Easily view, manage, and update your ingredients in one place

Keep inventory up to date with minimal effort

Swipe to quickly remove items

Tap to edit ingredient details and remaining quantity

Savings & Impact Visualization

Make mindful cooking measurable and rewarding

Track waste reduction and money saved
Turn small daily actions into visible long-term impact

Deck Research
Research Finding
Through this research, I identified key patterns in household food waste, including where waste comes from, its environmental and financial impact, and how people perceive its importance.

Deck Research
Research Finding
Through this research, I identified key patterns in household food waste, including where waste comes from, its environmental and financial impact, and how people perceive its importance.

Deck Research
Research Finding
Through this research, I identified key patterns in household food waste, including where waste comes from, its environmental and financial impact, and how people perceive its importance.

Where our waste comes from:

40%

restaurants, grocey stores

16%

farms

2%

manufactures

43%

homes

Why does household food waste matter?

Food waste = Emissions

Wasted food =

100M CO₂

1.13M methane

$ 728/yrs Avg. food waste cost per consumer

$ 728/yrs Avg. food waste cost per consumer

52–59% of households

earning less than $50,000 to 100,000 annually think reducing food waste is "Very important"

Source: U.S. EPA — Estimating the Cost of Food Waste to American Consumers

Primary Research
In-depths Interview
To understand users’ challenges, behaviors, and attitudes around managing ingredients and reducing food waste at home, we conducted interviews with households earning $50,000–$100,000 annually who struggle with food waste.

Primary Research
In-depths Interview
To understand users’ challenges, behaviors, and attitudes around managing ingredients and reducing food waste at home, we conducted interviews with households earning $50,000–$100,000 annually who struggle with food waste.

Primary Research
In-depths Interview
To understand users’ challenges, behaviors, and attitudes around managing ingredients and reducing food waste at home, we conducted interviews with households earning $50,000–$100,000 annually who struggle with food waste.

12

Interviewees

344

Data points

01 Everyday mental load makes it difficult for users to consistently manage their food.


02 Although users want to reduce waste, they often forget what they have and fail to act in time.


03 Users rely on subjective judgment of freshness, resulting in missed opportunities to use food before it spoils.

Voice of The Customers
We surveyed 74 participants across varied income groups. Results revealed strong demand for automated input, freshness reminders, ingredient-based recipes, and savings feedback, highlighting the need for low-effort, time-sensitive support in everyday food management.

Problem Statement

How might we help households better manage ingredients, so they can make timely decisions, reduce food waste, and build more sustainable everyday habits?

How might we help households better manage ingredients, so they can make timely decisions, reduce food waste, and build more sustainable everyday habits?

Possible Solution

Possible Solution

01

Real-time ingredient tracking

1

Carrot expiring soon!

2

02

Freshness-based reminders

3

03

Recipe based on ingredients

4

04

Daily food management

Model Experience

Competitive Analysis
Most competitors focus on recipes or isolated tools, assuming users plan meals in advance. In reality, people forget what’s in their fridge, rely on subjective freshness cues, and miss the right moment to act, turning good intentions into unnecessary food waste.

Who is going to use the service
Persona

Mario(26) She / Her / Hers
New York

Independent designer with a busy work schedule

“I wish I could waste less food by managing my food more effortlessly.”

Bio

Maria is a 26-year-old independent designer based in New York.
She has a busy, unpredictable schedule balancing work and personal life. Meals are often quick decisions with little time to plan.

Painpoints

  • Often forgets what’s in her fridge, leading to ingredients going bad.

  • Feels overwhelmed when deciding what to cook after a long day.

Goal

  • Reduce food waste while simplifying everyday decision-making

User Journey Map
By mapping user behaviors and data integration across each stage, we identified key friction points and opportunities in daily cooking decisions.

From Sketches to High-Fidelity Design
Design Development

Wireframe


Here are my initial wireframe explorations based on research insights and user needs. These early sketches helped visualize core flows.

Mid-Fidelity


These mid-fidelity wireframes refine layout structure, user flows, and interaction patterns to validate key usability decisions.

Usability Testing
I conducted usability testing with 18 target users to evaluate whether AvoMate’s inventory tracking and recipe features could help reduce food waste and support quicker cooking decisions.

User satisfaction improvement on Inputting Ingredients

28%

Ingredient freshness track rating

4.6/5

Recipe recommendation Rating

4.5/5

Design Iteration
Through usability testing and feedback, the following key improvements were made across inventory, freshness tracking, recipe customization, and profile experience.

  • Ingredient list felt dense and text-heavy

  • Freshness status wasn’t immediately clear

  • Expiring items lacked visual priority

  • Ingredient list felt dense and text-heavy

  • Freshness status wasn’t immediately clear

  • Expiring items lacked visual priority

  • Freshness graphs lacked clear hierarchy

  • Excess secondary info increased cognitive load

  • Suggestions were buried under analytics

  • Added “Urgent” alerts with direct recipe access

  • Highlighted key symptoms as tags

  • Turned freshness data into actionable guidance

  • Users had to mentally match ingredients with recipes

  • Customization required too many steps

  • Prioritized recipes based on available ingredients

  • Enabled quick recipe browsing simplified filters

  • Profile focused on settings

  • Personal impact wasn’t visible

  • No feedback loop for waste reduction

  • Created a visual feedback loop through Kitchen Impact metrics

  • Introduced time-based trends

  • Separated settings from personal performance

Manual Tracking

Smart Assistance

Interactivity

AvoMate

Passive

Interactive

Intelligent Guidance

Next Steps

  • Improve ingredient recognition (receipt + image accuracy)

  • Test long-term impact on behavior and food waste

  • Enhance personalization with user preferences and history

  • Explore integrations with smart devices and grocery platforms

Project Summary & Reflection

Project Summary & Reflection

Designing AvoMate reinforced that food waste is not a motivation problem, but a cognitive one, users lack visibility and timely cues in their daily routines.

This project taught me to design for real-life contexts, not just screens, and to prioritize clarity, action, and feedback over complexity. Through this process, I strengthened my ability to create behavior-driven experiences that reduce cognitive load and support more sustainable everyday habits.

2026 © Yiwen Huang

All rights reserved © 2026

2026 © Yiwen Huang

All rights reserved © 2026

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