Inspiration
Browsing for meal plans that are specific to one's tastes and dietary restrictions is often a tedious task that does not meet all desired requirements. We strived to create a resource that is inclusive and accessible to all to maintain health in the most efficient way possible.
What it does
Based on user preference, this project generates a meal plan for the user.
How we built it
This project was written in node.js, clerk, react, tensorflow, pandas, and mongoDB.
Challenges we ran into
Timing and efficiency, specifically the scale of the project in the allotted time.
Accomplishments that we're proud of
We were able to make a product that generates an output using AI. Because of the speed at which AI is evolving, we know this is a project that we will continue to develop over time along with new knowledge being discovered on AI.
What we learned
We learned how to communicate with each other as a team by allotting different tasks and helping each other in areas one another was stronger in. In doing so, we were able to combine our niche skills to build a product bigger than we could've imagined.
What's next for OptiMeal?
We want to expand the functionality of OptiMeal via more implementation and expanding our knowledge through further collaboration.
Built With
- clerk
- javascript
- mongodb
- node.js
- python
- spoonacular
- tensorflow
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