Made with Love

Made with Love is a family recipe and memory app built to preserve more than just instructions. We wanted to create a product that helps families keep recipes, stories, and cultural identity alive through food.

Inspiration

The idea came from a simple problem: family recipes are often lost across generations. Even when a handwritten recipe survives, the story behind it, the person who made it, and the cultural meaning around it can disappear. We were especially inspired by immigrant, diaspora, and grieving families who want to preserve traditions in a way that still feels personal and alive.

What it does

Made with Love centers around a family tree, where each family member can have their own recipes, memories, and archived contributions. Users can:

create or join a family space
build a family tree
attach recipes to real family members
upload handwritten recipes
use AI to extract and structure recipe text
add memories and stories to recipes
cook in a guided step-by-step mode
save family favorites
optionally share selected recipes for cultural discovery

The goal is to make cooking feel emotional, interactive, and rooted in family history rather than just functional.

How we built it

We designed the product around a few core flows:

Family archive
Users create a family tree and connect recipes to real relatives.
Recipe preservation
Users can upload recipe images and use AI to extract ingredients and steps.
Memory preservation
Recipes can include notes, stories, photos, and personal context.
Guided cooking
Recipes are transformed into a step-by-step immersive cooking experience with a warm, stylized family guide.

We focused the MVP on the most meaningful demo moments:

creating a family space
adding a family member
digitizing one handwritten recipe
attaching one story or memory
launching a guided cooking experience

Challenges we ran into

One of the biggest challenges was balancing emotional storytelling with product clarity. We did not want the app to feel like a generic recipe manager or an AI wrapper. It needed to feel warm, respectful, and culturally grounded.

Another challenge was defining how AI should help without taking over. We wanted AI to:

extract recipes from images
organize and clean up recipe text
support guided cooking

But we also wanted to make sure it would not invent family meaning, distort recipes, or create anything manipulative around grief and remembrance.

We also learned that the UX matters a lot for a product like this. A family tree, cookbook interactions, recipe creation, and cooking mode all need to feel smooth and intentional for the emotional value of the app to come through.

What we learned

We learned that preserving food heritage is not just a technical problem. It is also a design, trust, and storytelling problem. The strongest part of the project is not only the AI extraction; it is the combination of:

family structure
recipe preservation
memory capture
guided cooking
cultural meaning

This project taught us how to design AI-assisted experiences that feel useful and personal without losing authenticity.

What’s next

Our next step is to polish the UI, improve transitions, deepen the immersive cooking mode, and make the overall experience feel even more premium and emotionally resonant.