Trained using tensorflow keras, JART is a state of the art machine learning buddy of ours. Using a total of 3 Conv2D layers and 2 Dense layers, this model was trained in very little time. With activation functions of relu and softmax, our categorical machine learning friend JART came about! Using a collected dataset of 3000+ images, categorized into the 4 food categories, JART is now able to figure out what food category you are showing it! This dataset was compiled by Pentous creators! JART will let you know what food category you are most likely looking at!
We also have our Pentous Planner! It will create a comprehensive profile to help your health! Once you make your profile, it will follow you around, so you can use it to check out JART!
As a heavily passioned student who loves programming I wanted to use my skills to aid those who surround me. Eating healthy and trying to live a healthy lifestyle is hard...I think that is something we can all agree upon. This inspired me and my friends to create Pentous to make once an incredibly hard journey easy. Together, using CSS, HTML for the front end design and javascript to create a machine learning program that would analyze each image our team created a tool that we believe will help many people.
Hi! I am a 16 year old student, studying computer science and all its amazing aspects! I enjoy learning front-end and am in the process of learning more. Making such a project really hurt my head, especially with my atrocious organization skills. I hope that I can make more organized projects in the future!
I am 17 year old student who is interested in front-end development using languages such as HTML and CSS. I enjoy using my computer science skills to create projects with others. I applied my skills when creating Pentous, a project created in collaboration with friends in an effort to improve overall health of my fellow human beings.