Inspiration
We created Meal Mate AI after noticing how college students struggle to eat well while juggling busy schedules. Our goal was to make meal planning simple, educational, and a bit more fun.
What it does
Meal Mate AI helps users craft weekly meal plans with ease.
How we built it
We used a modern stack with TypeScript, React, and Next.js to build a responsive interface. Our backend, also powered by Next.js and Supabase, integrates with Google Cloud AI and various APIs for dynamic data processing. TailwindCSS helped us quickly implement a stylish design.
Challenges we ran into
Developing an intuitive chatbot that accurately processes natural language was challenging.
Accomplishments that we're proud of
We're proud of creating a user-friendly interface and a responsive chatbot that genuinely helps users manage their meal planning and ingredient tracking.
What we learned
We learned how crucial it is to integrate functionality with an easy-to-navigate design and how to effectively combine multiple APIs.
What's next for Meal Mate
We plan to introduce features like meal sharing among users to build a community around shared cooking experiences.
Built With
- google-cloud
- nextjs
- rapidapi
- react
- supabase
- tailwind
- typescript
Log in or sign up for Devpost to join the conversation.