## Inspiration

Commuting can be unpleasant, especially early in the morning when you are tired and want to sleep. With a GPS based alarm you can safely sleep on the bus/train knowing you will not miss your stop.

## What it does

GPS based alarm

## How we built it

Smashing through bugs until something came out

## Challenges we ran into

Android development

## Accomplishments that we're proud of

Getting it to work, learning new skills

## What we learned

Android development

## What's next for Snoozy

Amazing things
## What it does

Take a picture, get a 3D print of it!

## Challenges we ran into

The 3D printers going poof on the prints.

## How we built it

* AI model transforms the picture into depth data. Then post-processing was done to make it into a printable 3D model. And of course, real 3D printing.
* MASV to transfer the 3D model files seamlessly.
* RBC reward system to incentivize users to engage more.
* Cohere to edit image prompts to be culturally appropriate for Flux to generate images.
* Groq to automatically edit the 3D models via LLMs.
* VoiceFlow to create an AI agent that guides the user through the product.
## Inspiration

Car theft is a serious issue that has affected many people in the GTA. Car theft incidents have gone up 60% since 2021. That means thousands of cars are getting stolen PER WEEK, and right in front from their driveway. This problem is affecting middle class communities, most evidently at Markham, Ontario. This issue inspired us to create a tracking app and device that would prevent your car from being stolen, while keeping your friend’s car safe as well.

## What it does

We built two components in this project. A hardware security system and an app that connects to it.
In the app you can choose to turn on/off the hardware system by clicking lock/unlock inside the app. When on, the hardware component will use ultrasonic sensors to detect motion. If motion is detected, the hardware will start buzzing and will connect to Twilio to immediately send an SMS message to your phone. As while the app has many more user-friendly features including location tracking for the car and the option to add additional cars.

## How we built it

We built the front-end design with figma. This was our first time using it and it took some Youtube videos to get used to the software, but in the end we were happy with our builds. The hardware system incorporated an arduino yun that connected and made SMS text messages through twilio’s api system. As well, the arduino required C code for all the SMS calls, LED lights, and buzzer. The hardware also included some wiring and ultrasonic sensors for detection. We finally wanted to produce an even better product so we used CAD designs to expand upon our original hardware designs. Overall, we are extremely pleased with our final product.

## Business Aspect of SeCARity

As for the business side of things, we believe that this product can be easily marketable and attract many consumers. These types of products are in high demand currently as they solve an issue our society is currently facing. The market for this will be big and as this product holds hardware parts that can be bought for cheap, meaning that the product will be reasonably priced.

## Challenges we ran into

We had some trouble coming up with an idea, and specifically one that would allow our project to be different from other GPS tracker devices. We also ran into the issue of certain areas of our project not functioning the way we had ideally planned, so we had to use quick problem solving to think of an alternative solution. Our project went through many iterations to come up with a final product.

There were many challenges we ran into on Figma, especially regarding technical aspects. The most challenging aspect in this would’ve been the implementation of the design.

Finally, the virtual hacking part was difficult at times to communicate with each other, but we persisted and were able to work around this.

## Accomplishments that we're proud of

We are extremely proud of the polished CAD version of the more complex and specific and detailed car tracker. We are very proud of the app and all the designs. Furthermore, we were really happy with the hardware system and the 3-D printed model casing to cover it.

## What we learned

We learned how to use Figma and as well an Arduino Yun. We never used this model of an Arduino and it was definitely something really cool. As it had wifi capabilities, it was pretty fun to play around with and implement new creations to this type of model. As for Figma, we learned how to navigate around the application and create designs.

## What's next for SeCARity

-Using OpenCV to add camera detection
-Adding a laser detection hardware system
-Ability to connect with local authorities