Carbon Footprint Awareness AI App

An app that uses vision processing and artificial intelligence to predict the carbon footprint of various food items that a user presents to the program.

Comment

Trained AI identifying ramen
Data science code with R
Visualized model of environmental crisis through temperature anomaly
Greenhouse gas concentration over the years
CO2 concentration over the years
Atmospheric CO2 concentration
Code in HTML/CSS for web application

Where can I see it?

You can watch our video.

Inspiration

Climate change is one of the largest issues facing our generation and we want to help in any way we can.

What it does

Our application detects food that you eat using the Tensorflow object detection API and displays statistics about how much effect what you're eating has on the planet in order to spread awareness about the effects of producing food. Additionally, we have a backup system in which instead of scanning food, you put in the barcode of the

How we built it

We built this using the Tensorflow object detection API, web scraping in python with beautiful soup, data analysis in R, and a website with HTML, CSS, and Javascript.

Challenges we ran into

There were many times when we had version control issues such as committing from git.

Accomplishments that we're proud of

Training the AI, analyzing data, web scraping, and making the website.

What we learned

VS Code Live Share and Live Server is very good for working on the same code at the same time and watching live changes on localhost for web dev.

What's next for Carbon Footprint Awareness AI App

The big picture is to expand our project to assess the carbon emissions in all places around the globe. Once people can understand the extent of the environmental damage they are doing, they can take action to aid it. To expand our project, we could streamline it for companies and add more data to make our neural network even better. A big portion of the money we receive will go towards social marketing and getting our product maximum outreach in our community and beyond.

Built With

cocoapi
css3
html5
javascript
python
r
tensorflow
tensorflowobjectdetectionapi

Created by

Executive vision processing and data analytics programmer. I did the data analysis in R.

Raadwan Masum
I literally program. What did you expect?
Executive front-end and server control developer. I worked on the front-end and web design, researcher about carbon emissions through food and climate change, and voiced the introduction and conclusion for the submission video.

Ashwin Babu
Programmer. I do machine learning and artificial intelligence, full-stack web development, and computational mathematics using code.
Executive artificial intelligence developer. I built the web scrapper to fetch product information from a barcode database. Researched the best way to calculate carbon footprint of various products. Edited the YouTube video

Rishi Peddakama
Creator of the neural network. Worked on the live object detection model using tensorflow's object detection api. Also created the backend and server which you can see in the demo.

Alvin Zheng

Updates

Raadwan Masum started this project — Apr 12, 2020 07:29 PM EDT

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