EatRight - Building a personalised app for healthy eating using Machine Learning and Python
Most people start a New Year with resolutions to eat right and become fit. However as days go by more than half of them go back to old habits and poor weight management .
Healthy eating has become a bigger issue in the COVID-19 pandemic. People are forced to be indoors which is disrupting their eating and sleeping habits. According to WebMD’s recent study , many men and women are developing unhealthy habits due to the covid-19 pandemic.
Decreased outdoor activity, eating comfort food, and anxiety due to covid-19 is proving to be the right recipe for weight gain. In the last 30 days quarantine15 and #QuarantineWeight have become popular terms on social media.
I am a ninth grader and I have been working on AI projects since last November. Over summer I started to build an app “EatRight” that recommends healthy food choices to a user based on their personal data in a private and safe way.
So how is this cooler than the million other food apps available to use?
In this talk, I will present those unique differences. I will walk the listener through the problem statement, design, unique features, and the source code of EatRight. Added to the fun will be a Live Demo!.
I will also highlight lessons learned and future enhancements that I am planning to do with my app.
Basic understanding of software development. Beginners are welcome!
I have written a blog post about my project here:
Source code: https://github.com/anaypant/AIclub/tree/master/Competition%20August
Link to slides: https://docs.google.com/presentation/d/1-GpUVutLw2HiQsWHaqTJOK3lsXKE11Rqp5R-uEBQRL4/edit?usp=sharing
My name is Anay Pant. I am an incoming 9th grader. I have an interest in robotics and coding . To learn more about my projects, visit https://anaypant.github.io/
Recently I am studying data science and machine learning which I enjoy very much. My recent blog post on Linear Regressions was published on AI Club -