Tedd Lee, Ishmam Khan, Sanjidah Khan, Muslim Hussaini, Nakib Abedin

Hack Knight @ Queens College

Problem One: Ecological Costs of Food

Problem Two: Misinformation about Food Macros

Inspiration

• Both the problems we mentioned stem from the same issue – a lack of awareness about the food that we eat
• Better information regarding the food that we eat would likely steer people towards healthier choices
• Awareness of the carbon footprint of the food we consume would steer us towards more environmentally conscious behavior
• We wanted to make a project that tackled both these issues, and that led us to creating GreenByte

What does it do?

• We firmly believe that knowledge of nutritional and environmentally sustainable food choices is of utmost importance.
• We wanted to create a platform that provided such knowledge in a free and convenient manner
• By simply uploading pictures of the meals you eat, our app will give you a approximation of the nutritional contents as well as the carbon footprint behind the production of the food you chose.

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How does it work?

• Frontend: React + Typescript
• Backend: Flask + Python
• Database: Firebase
• For leaderboard functionality
• APIs:
• Llama Model via Hugging Face Inference Client for image classification
• Gemini API for calorie estimation and carbon footprint analysis

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Demo!

Loom

Future Features

We plan on adding the following features to upscale this project:

• Mobile Support
• We want to expand this app by making Touch optimized interactions for mobile use, as well as mobile friendly navigation
• Social Network Feature
• We would’ve loved to integrate a social network feature into our app where you can compete with your friends to see who can eat the healthiest.
• Unfortunately, we simply just didn’t have enough time for such a feature.

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Links

Try it yourself!: https://greenbyte.netlify.app/

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Devpost: https://devpost.com/software/greenbyte

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Source Code: [GitHub]

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