## Inspiration

A physically active lifestyle is the key to good overall health and to preventing chronic disease. A critical issue In Canada is the levels of physical inactivity and sedentary living among Canadians of different ages. People live sedentary lifestyles because it is **EASY** to do and it is **HARD** to find people with similar workout interests! Not anymore!

***Make exercising fun***

* Engage with the local community
* Build strong communities
* Bring different people together for the first time

***Living a sedentary lifestyle has become an increasingly menacing problem.***

* Childhood obesity and diabetes are just as prominent as ever.

***Your friends do not want to exercise with you or you want to do different exercises because you have different goals.***

* How do you make friends who want to do what you want to do?
	+ How can we do this safely and effectively?
	+ How might we engage and build a strong community that encourages exercise and healthy living?

## What it does

Sport-Scanner gives users the ability to schedule and meet up with other users at a local place to engage in exercise and play sports! Sport-Scanner allows users to see all amenities happening at a nearby open space or public park, they can register for scheduled amenities. Using geolocation, users are able to communicate with other registered users and engage with the community by connecting with one another and sharing motivational goals, photos, workout data, and compete with each other for points. The social feed allows users to track their workout goals and see members' fitness goals and data as well.

## How we built it

Node.JS and Express make up the server. We used Google Cloud Compute and Google Firebase functions. The front end is done in Android.

## Challenges we ran into

Firebase authentication held us up for a long time and we had difficulties with Android Studio.

## Accomplishments that we're proud of

We finally were able to use firebase correctly and got our server service through Google Cloud Computing VM. We are proud by the front end designs and how nice the app has developed.

## What we learned

Firebase, Cloud Engine, learning Android Development

## What's next for sport-scanner

We hope to implement smoother geofencing features for the chat portion of our application. If we had more time, we would make a feed where people are able to automatically share their health tracker(fitbit) data directly with those they have connected, and played sports, with. People would also be able to share photos of the events from their workouts on the network. We worked on integrating fitbit data and were able to get the daily summary with an API call. We would like to expand on this, get more data, store it in firebase, and serve it in a format that encourages competition and fitness.
## Inspiration

In the “new normal” that COVID-19 has caused us to adapt to, our group found that a common challenge we faced was deciding where it was safe to go to complete trivial daily tasks, such as grocery shopping or eating out on occasion. We were inspired to create a mobile app using a database created completely by its users - a program where anyone could rate how well these “hubs” were following COVID-19 safety protocol.

## What it does

Our app allows for users to search a “hub” using a Google Map API, and write a review by rating prompted questions on a scale of 1 to 5 regarding how well the location enforces public health guidelines. Future visitors can then see these reviews and add their own, contributing to a collective safety rating.

## How I built it

We collaborated using Github and Android Studio, and incorporated both a Google Maps API as well integrated Firebase API.

## Challenges I ran into

Our group unfortunately faced a number of unprecedented challenges, including losing a team member mid-hack due to an emergency situation, working with 3 different timezones, and additional technical difficulties. However, we pushed through and came up with a final product we are all very passionate about and proud of!

## Accomplishments that I'm proud of

We are proud of how well we collaborated through adversity, and having never met each other in person before. We were able to tackle a prevalent social issue and come up with a plausible solution that could help bring our communities together, worldwide, similar to how our diverse team was brought together through this opportunity.

## What I learned

Our team brought a wide range of different skill sets to the table, and we were able to learn lots from each other because of our various experiences. From a technical perspective, we improved on our Java and android development fluency. From a team perspective, we improved on our ability to compromise and adapt to unforeseen situations. For 3 of us, this was our first ever hackathon and we feel very lucky to have found such kind and patient teammates that we could learn a lot from. The amount of knowledge they shared in the past 24 hours is insane.

## What's next for SafeHubs

Our next steps for SafeHubs include personalizing user experience through creating profiles, and integrating it into our community. We want SafeHubs to be a new way of staying connected (virtually) to look out for each other and keep our neighbours safe during the pandemic.
## Inspiration

Business-in-a-box offered an Ai chat bot challenge which inspired us to create a friendly chatting bot.

## What it does

ADM-Ai answers simple questions and responds accordingly to your message.

## How we built it

We used our "strong" Comp 202 knowledge together to create this web/desktop app. We thus consulted online ressources such as TechWithTim's youtube tutorials, Kivy documentation and Flask documentation.
.

## Challenges we ran into

As first-year students at McGill in CS, we faced different challenges such as front-end and back-end relations, packaging a Python project, setting the virtual environment, working with several new frameworks and API's, etc. However, we were determined hackers and pursued our goal of finishing our Chat Bot application.

## Accomplishments that we're proud of

We are quite proud of being able to show a finished product as hackathon newbies. Creating the front-end was definitely a challenge as we are mostly used to solving logic problems with Python algorithms.

## What we learned

We learned about the different steps in building a project as a team; coordinating our efforts together so it all comes together in a finished product in the end. We also learned to work with different Python frameworks and packages and to combine their utilities together.

## What's next for ADM-AI Chat Bot

ADM-Ai Chat Bot will probably stay as a medal of our first collective project in Computer Science. We have planned to upload it in a cloud-based server and set it up as a web app as well.