We built an AI nutrition platform that helps people plan meals, manage groceries, recognise ingredients and find suitable places to eat nearby, without logging everything by hand.
Industry: HealthcareService: AI & AutomationUpdated
Overview
The challenge
Many nutrition apps still ask users to search for every food, log each meal, build grocery lists by hand and open another app when they eat out. People tire of that quickly.
The client wanted nutrition support that worked in everyday life. The product had to cut manual tracking while still adapting to each person's goals, the ingredients they had and where they were.
Logging and planning every meal by hand made it hard for users to keep it up.
Traditional trackers worked better at home than when users had to make a quick choice in a restaurant or shop.
Planning meals, checking ingredients, writing grocery lists and finding restaurants often meant using different tools.
The solution
The platform uses each user's preferences and nutrition goals to suggest meals that suit their daily routine.
Users scan the ingredients they have and get recipe ideas, instead of typing in every item.
Away from home, the platform helps users find nearby options that suit their dietary preferences.
Before and after
Before
Manual selection
Users looked up recipes and worked out meals themselves.
After
Personalised suggestions
The platform puts together meal ideas around each user's preferences and goals.
Before
Type everything
Users entered ingredients and food details by hand.
After
Scan and discover
Ingredient recognition cuts the typing and quickly suggests what users can cook.
Before
Search separately
Users had to research suitable restaurants and meals on their own.
After
Nearby suggestions
The app suggests local choices that fit each user's needs.
Key features
Meal ideas are built around each user's goals and preferences, which takes effort out of deciding what to eat.
Business impact
Less planning effort
Users scan what they already have and get useful recipe ideas without listing every ingredient.
Business impact
Quicker meal decisions
The app points users to local food options that better suit their dietary preferences.
Business impact
Useful beyond home
Results
60% Less Planning Time
Personal meal plans and grocery support cut the time users spend organising meals by 60%, compared with doing it by hand.
Before: ManualAfter: 60% Faster
50k+ Product Queries Supported
Searches across the large product database went from under 1.5 seconds to under a second, so there is no noticeable wait in normal use.
Before: < 1.5sAfter: Sub-Second
More Reliable Feature Updates
Each part of the product can be improved on its own without disrupting the rest of the app.
Before: Tightly ConnectedAfter: More Flexible
Faster delivery
Reusing these tested components meant less setup, more time on the planning and recognition features, and an earlier launch.
Our tested profile module keeps each user's goals and preferences in encrypted storage behind secure access.
Proven image recognition components were the starting point for the fridge scanner, which recognises ingredients with 92% accuracy.
Ready-made location and search parts power the nearby dining suggestions and the food and product search.
Existing grocery and product connections link each meal plan to a grocery list and the product database.
Trust and control
Personal nutrition and profile data is protected by secure access and encrypted storage.
SECURERecommendations are based on the preferences and goals users have shared, so it's easy to see why a meal was suggested and to change it.
PERSONALISEDThe product was structured so new features and integrations can be added as it expands.
GROWTH READYThe client owns the custom product and all the code built for it.
100% OWNEDThe platform brings meal planning, ingredient recognition, grocery lists, personal suggestions and nearby dining into one app. It suggests meals based on each user's goals and preferences, recognises scanned ingredients and offers recipe ideas, and points users to local food options that suit their diet when they are away from home.
The fridge scanner recognises ingredients from food images with 92% accuracy. Users scan what they already have instead of typing in every item, and the platform turns those ingredients into recipe ideas. That removes much of the manual entry that made traditional nutrition trackers tiring to use day after day.
Users spend 60% less time planning meals, thanks to personalised suggestions and grocery support. The platform supports more than 50,000 food and product searches, and search times dropped from under 1.5 seconds to under a second. Each part of the product can also be updated without disrupting the rest of the app.
If your users drop off because logging every meal is tiring, we can help you add scanning, personal plans and local suggestions that do more of the work for them.