Strive

barelogos

Strive to do better. Strive to be better.

Inspiration

We're a tightly knit group of friends from McMaster University, Hamilton, Ontario, Canada. As you could probably tell from our tech stack (built with "love" and "friendship"), we're a very supportive peer environment. This was the inspiration behind us creating Strive, an application that helps you achieve those goals by capitalizing on that community environment and competitive spirit.

What it does

Strive allows you to:

Connects you with peers in your zip code to enable you to form accountability groups Encourages friendly competition between you and your group via a points system Utilizes computer vision to quickly track your meals and food intake, while providing you with nutritional information

How we built it

Our front end was written in HTML, CSS, JavaScript and Bootstrap. We implemented our backend using Firebase and Node.JS to call the Google Cloud Vision API for real-time image processing.

Challenges we ran into

Some of our teammates were newer to the workflow process of version control, so it took us some time to get on the same page and begin coding together. In addition to this, there were some issues with uploading images via AJAX requests, which slowed down our implementation of the computer vision models.

Accomplishments that we're proud of

We're very proud to have built a robust and beautiful user interface, thanks to our team of frontend developers. We're also very proud of the fact that we were able to utilize the computer vision API and connect it to our application.

What we learned

We learned how to use jQuery and AJAX to request files and manipulate the DOM. We were also exposed to the debugging tools in VSCode for the first time, thanks to a lot of help from our mentors!

What's next for Strive

We really hope to be able to continue this project and implement it on a local scale. Creating a group to track our own fitness and nutritional goals was one of the primary goals for this project, and we believe it's a good start. Beyond that, we truly believe this could help those without strong peer environments and positive influences a good way to find like-minded peers who share their goals and aspirations.

Built With

Submitted to

MedHacks 2018: Snow Day

Created by

I worked on the backend along with Aravin. My job was to integrate the Google Cloud Vision API, my second time working with Computer Vision. I also worked on integrating the HTML and CSS with our Node JS server side code. It was extremely rewarding, and educational to learn how to pass information from server to server. Seeing your project come to life makes all the hours worth it!

Ahmed Fuad Ali
Student at McMaster University, studying Biomedical & Electrical Engineering!
Implemented Api's

Aravin
I worked mostly on the front end working on the progressive web-app. It was my first experience with back-end by implementing user authentication with Firebase.

Christian Mavely
I worked on the front end with Christian, developing our responsive web app. I used HTML and CSS to create the homepage and interactive dashboard. It was a great learning experience and we are all extremely proud to have carried out or vision.

rjdeus

Updates

Ahmed Fuad Ali started this project — Sep 09, 2018 12:36 AM EDT

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