FoodRadar

Inspiration

Food Inventory is a daily problem for many people. Keeping track of what is in your pantry or in your fridge is hard, and sometimes you might forget you had something and buy extra, looking at what you have in your fridge is now possible online.

What it does

FoodRadar tracks fridge inventory through the use of cameras inside the fridge and image food recognition. It also allows manual pantry or outside of fridge items to be manually input into the inventory.

How we built it

We built it using the MERN Stack (MongoDB, Express.js, React, Node.js) and the Google Cloud Vision API for food recognition through image.

Challenges we ran into

Implementing the API and backend was quite tiring since we are new to the MERN stack and the JavaScript language world as a whole.

Accomplishments that we're proud of

For first time MERN stack users, and mostly our first time hacking, we are proud of the webapp and the successful integration of backend/frontend and also a REST API.

What we learned

We learned how to work in front end, integrating across front and back, and also how to consider a complete coding project in a limited time frame.

What's next for FoodRadar

Better AI models for food recognition and more automation for both inside and outside of fridge inventory management.

Built With

• cloudvision
• express.js
• mongodb
• node.js
• react