Inspiration

“That Damn… Dish” Theory. It’s a practical scenario that wherever you visit, maybe a special occasion, a restaurant in another city, or even another country there is always a great dish that you tasted and would love to make on your own.

What it does

Recipeon is designed to make that happen effortlessly. The core idea is simple: Take a snap of the dish and let the AI do the rest.

How we built it

  • The application follows Clean Architecture principles and established industry best practices to ensure scalability, maintainability, and testability.
  • Flutter is used to build the frontend, Node.js powers the backend, and AWS is used for the infrastructure.

Challenges we ran into

  • General build–test–fix cycles throughout the development process
  • Security: Secured backend endpoints using private, self-signed certificates
  • Integrating RevenueCat and designing an intuitive paywall while adhering to official documentation and platform guidelines.
  • Navigating the App Store release process, including addressing review feedback, fixing last-minute issues, and resubmitting multiple times for approval.

Accomplishments that we're proud of

  • I was able to create a character and build a product around it.
  • Taking the idea from Figma to production in under four weeks.
  • This is the fastest turnaround I’ve achieved so far.

What we learned

  • Setting up a clear scope and boundaries is the only way to achieve things in a timely manner.
  • Revenue model success does not just lie in solving the problem; providing a quality experience is also a must.

What's next for Recipeon

  • Data backup: iCloud Backup for iOS & GDrive Backup for android
  • From ingredients to recipes: get recipe suggestions based on what you have on hand, with region or location-specific options.
  • Favorite Recipe System: Allow users to maintain a dedicated list of favorite recipes.
  • Watch App for Grocery List: A watch app to track grocery lists, enabling shopping without taking the phone out of the pocket.
  • Unified Recipe Database: With proper privacy policy controls, build a database from users’ public searches.
  • Custom Serving: Currently, users can adjust serving size during search. This feature focuses on adjusting servings after the search and regenerating enhanced recipe instructions.

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