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Flamble: Healthy meal planning app

About

It tackles a real social issue: people are always busy and overworked. They have little time for anything, and when they finally do, they don’t want to spend it planning meals, choosing healthy options, or making grocery lists.

Our team came up with a solution: a mobile app that offers users the most effortless and enjoyable way to eat healthy without the stress of planning. Help busy people organize their meals and maintain healthy eating habits.

About

Goals

Simplify meal planning through an intuitive and user-friendly interface.

Reduce the stress and time spent deciding what to eat or what to buy.
Encourage balanced nutrition by offering personalized meal suggestions.

Goals

Simplify meal planning through an intuitive and user-friendly interface.

Reduce the stress and time spent deciding what to eat or what to buy.
Encourage balanced nutrition by offering personalized meal suggestions.

Research

Desk Research

As part of the initial research phase, we conducted a desk research process to better understand the context of healthy eating and current habits.
We focused on gathering information about people’s eating behaviors and lifestyles, physical health and chronic diseases, out-of-home eating habits, and special groups such as individuals with allergies or food intolerances.

This helped us identify key challenges and insights to guide the design of an app that truly supports users in adopting healthier and more sustainable habits.

Interview

We conducted 12 interviews with participants aged 20 to 70, including a nutrition professional, pregnant women or mothers, people with celiac disease, and individuals with metabolic disorders.

Objectives:

Understand people’s real knowledge of healthy eating.
Learn how they organize daily meals to eat healthily.
Identify challenges faced by those with food allergies or intolerances.

Research

Desk Research

As part of the initial research phase, we conducted a desk research process to better understand the context of healthy eating and current habits.
We focused on gathering information about people’s eating behaviors and lifestyles, physical health and chronic diseases, out-of-home eating habits, and special groups such as individuals with allergies or food intolerances.

This helped us identify key challenges and insights to guide the design of an app that truly supports users in adopting healthier and more sustainable habits.

Interview

We conducted 12 interviews with participants aged 20 to 70, including a nutrition professional, pregnant women or mothers, people with celiac disease, and individuals with metabolic disorders.

Objectives:

Understand people’s real knowledge of healthy eating.
Learn how they organize daily meals to eat healthily.
Identify challenges faced by those with food allergies or intolerances.

Insight

There is a perception that eating healthy requires more effort, as it is associated with complex recipes, extra time, and prior planning.

User persona

Context

Heavy workload. Meals are often “whatever is easiest to grab.”

Little time to plan their diet.
Choices based on packaging and visible calories.

Gains

Know that what they eat is healthy.

Easily plan their meals.
Understand nutrition labels clearly.

Pains

Decisions driven by packaging.

Planning meals takes too much time and effort.
Focuses mainly on calorie numbers.

Sitemap

Low and Mid Fidelity Wireframes

Insight

There is a perception that eating healthy requires more effort, as it is associated with complex recipes, extra time, and prior planning.

User persona

Context

Heavy workload. Meals are often “whatever is easiest to grab.”

Little time to plan their diet.
Choices based on packaging and visible calories.

Pains

Decisions driven by packaging.

Planning meals takes too much time and effort.
Focuses mainly on calorie numbers.

Gains

Know that what they eat is healthy.

Easily plan their meals.
Understand nutrition labels clearly.

Sitemap

Low and Mid Fidelity Wireframes

MVP Highlights

IA for authomatic and personalised meals.

Integrate AI technology to automatically generate personalized meal plans based on user preferences, habits, and nutritional goals.

MVP Highlights

Step to step recipe

Flamble allows users to follow recipes step by step, making the cooking process simple and guided.
Through the batch cooking mode, the app automatically organizes all steps and ingredients to help users cook several meals at once : saving time, staying organized, and avoiding food waste.

Automated grocery list and nutritional values

Flamble creates a smart grocery list tailored to your weekly menu and shows the nutritional breakdown of every meal to help users make informed choices.

Automated grocery list and nutritional values

Flamble creates a smart grocery list tailored to your weekly menu and shows the nutritional breakdown of every meal to help users make informed choices.

Conclusions

Flamble has been a meaningful project that allowed our team to apply UX/UI principles to a real and relatable problem: helping busy people eat healthier and stay organized.
Throughout the design process, we learned the importance of combining functionality with simplicity — creating an app that not only solves a practical need but also provides a pleasant, intuitive user experience.

By integrating features like AI-based meal personalization, batch cooking, and automated grocery lists, Flamble demonstrates how technology can make healthy living more accessible and achievable for everyone.

This project strengthened our skills in user research, design thinking, and product usability, while emphasizing how thoughtful design can truly improve people’s daily lives.

Prototype

Flamble: Healthy meal planning app

Flamble: Healthy meal planning app

Desk Research

This helped us identify key challenges and insights to guide the design of an app that truly supports users in adopting healthier and more sustainable habits.

Interview

We conducted 12 interviews with participants aged 20 to 70, including a nutrition professional, pregnant women or mothers, people with celiac disease, and individuals with metabolic disorders.

Objectives:

Understand people’s real knowledge of healthy eating.

Learn how they organize daily meals to eat healthily.

Identify challenges faced by those with food allergies or intolerances.

Research

Desk Research

This helped us identify key challenges and insights to guide the design of an app that truly supports users in adopting healthier and more sustainable habits.

Interview

We conducted 12 interviews with participants aged 20 to 70, including a nutrition professional, pregnant women or mothers, people with celiac disease, and individuals with metabolic disorders.

Objectives:

Understand people’s real knowledge of healthy eating.

Learn how they organize daily meals to eat healthily.

Identify challenges faced by those with food allergies or intolerances.

Insight

There is a perception that eating healthy requires more effort, as it is associated with complex recipes, extra time, and prior planning.

User persona

Context

Heavy workload. Meals are often “whatever is easiest to grab.”

Little time to plan their diet.

Choices based on packaging and visible calories.

Gains

Know that what they eat is healthy.

Easily plan their meals.

Understand nutrition labels clearly.

Pains

Decisions driven by packaging.

Planning meals takes too much time and effort.

Focuses mainly on calorie numbers.

Sitemap

Low and Mid Fidelity Wireframes

Insight

There is a perception that eating healthy requires more effort, as it is associated with complex recipes, extra time, and prior planning.

Context

Heavy workload. Meals are often “whatever is easiest to grab.”

Little time to plan their diet.

Choices based on packaging and visible calories.

Pains

Decisions driven by packaging.

Planning meals takes too much time and effort.

Focuses mainly on calorie numbers.

Gains

Know that what they eat is healthy.

Easily plan their meals.

Understand nutrition labels clearly.

IA for authomatic and personalised meals.

IA for authomatic and personalised meals.

Integrate AI technology to automatically generate personalized meal plans based on user preferences, habits, and nutritional goals.

Step to step recipe

Step to step recipe

Flamble allows users to follow recipes step by step, making the cooking process simple and guided.Through the batch cooking mode, the app automatically organizes all steps and ingredients to help users cook several meals at once : saving time, staying organized, and avoiding food waste.

Automated grocery list and nutritional values

Flamble creates a smart grocery list tailored to your weekly menu and shows the nutritional breakdown of every meal to help users make informed choices.

Automated grocery list and nutritional values

Flamble creates a smart grocery list tailored to your weekly menu and shows the nutritional breakdown of every meal to help users make informed choices.

Flamble allows users to follow recipes step by step, making the cooking process simple and guided.
Through the batch cooking mode, the app automatically organizes all steps and ingredients to help users cook several meals at once : saving time, staying organized, and avoiding food waste.