## 📚🙋‍♂️Domain Name📚🙋‍♂️

**DOMAIN.COM: AUTINJOY-WITH.TECH**

## 💡Inspiration💡

Parents know that travelling can be an eye-opening experience for kids, but they also know that travelling even with one kid can be overwhelming, involving lots of bathroom stops and needing to manage boredom, motion sickness, and more.

When parents have an autistic kid, it means they have to consider additional factors when travelling. Because when places with sensory overload, closed spaces, or constant movement stress out an autistic child, the child can have what's called an "autistic meltdown", which is very difficult to manage temper tantrums.

So what if they had an app that could help them avoid triggering these meltdowns?

## ❓What it does❓

For parents and the caring adults they trust like a babysitter, the app allows them to:

* journal when autistic meltdowns happen and how they manifested
* visualize this data in a structured way to understand when and how meltdowns happen
* find whether businesses and attractions they plan to visit are unexpectedly crowded or have areas to look out for that could trigger meltdowns
* contact destinations like airports, hotels, and museums in advance in case accommodations can be made

For kids, the app helps them:

* communicate their needs; and
* journal their thoughts and feelings

For businesses, the app allows them to:

* alert users when they unexpectedly have large crowds when users search for them
* proactively inform users of areas with potential triggers like sensory overload from loud noises or bright lights; and
* receive feedback anonymously from users when kids have a meltdown and any relevant environmental factor so that they might decide to put a sign up to caution visitors or indicate this info somewhere

## 🏗️How we built it🏗️

We built our app using HTML, CSS, and JavaScript for the dashboard and Figma for the mobile app.

1. We Use HTML/CSS/JS for building the dashboard.
2. We Use Auth0 as the login and Signup page.
3. We Use Twilio for Multi-factor Authentication and Connecting SMS from Doctors or Social Groups.
4. We Use FIGMA for Mobile Application.
5. We use Google Maps for Localization and Addressing Restaurants or Stoppages of the Journey.
6. We use Google Cloud for the deployment of the Dashboard

## 🚧Challenges we ran into🚧

* Managing a team in different time zones
* Limited coding ability on the team

## 🏅🏆ACCOMPLISHMENTS THAT WE ARE PROUD OF🏅🏆

We worked on an idea that has real-world application! We are happy to have devised a solution to a critical problem that affects such a vast number of people with no available methods or resources to assist them. We learned a lot while working on the project not just technically but also in time management. We are proud we could complete the project and deliver a beautiful fully functional Hack this weekend.

## 📚🙋‍♂️What we learned📚🙋‍♂️

We learned so much about HTML and CSS Design while completing Dashboard. Implementing UI/UX to the fullest of our Capabilities using FIGMA to make it look Aesthetic and Attractive for users. We were able to manage the time well and Implement the ideas we had brainstormed. We also learnt the critical use of Backend Services like Twilio and Auth0 for authentication. Google Maps and Google Cloud made the application more userfriendly and helped us learn about deployment. The themes of the website tried to make it as visually attractive as possible for the Autistic Kids to like and Enjoy.

## 💭What's next for Autinjoy💭

1. User testing and feedback by real-time Users
2. Deployment at a large scale for Social Good & Travel ease
3. Auto-generating the travel itinerary using AI & Machine Learning
4. Making a Weekly schedule for Management of Therapy Sessions
## Inspiration

I dreamed about the day we would use vaccine passports to travel long before the mRNA vaccines even reached clinical trials. I was just another individual, fortunate enough to experience stability during an unstable time, having a home to feel safe in during this scary time. It was only when I started to think deeper about the effects of travel, or rather the lack thereof, that I remembered the children I encountered in Thailand and Myanmar who relied on tourists to earn $1 USD a day from selling handmade bracelets. 1 in 10 jobs are supported by the tourism industry, providing livelihoods for many millions of people in both developing and developed economies. COVID has cost global tourism $1.2 trillion USD and this number will continue to rise the longer people are apprehensive about travelling due to safety concerns. Although this project is far from perfect, it attempts to tackle vaccine passports in a universal manner in hopes of buying us time to mitigate tragic repercussions caused by the pandemic.

## What it does

* You can login with your email, and generate a personalised interface with yours and your family’s (or whoever you’re travelling with’s) vaccine data
* Universally Generated QR Code after the input of information
* To do list prior to travel to increase comfort and organisation
* Travel itinerary and calendar synced onto the app
* Country-specific COVID related information (quarantine measures, mask mandates etc.) all consolidated in one destination
* Tourism section with activities to do in a city

## How we built it

Project was built using Google QR-code APIs and Glideapps.

## Challenges we ran into

I first proposed this idea to my first team, and it was very well received. I was excited for the project, however little did I know, many individuals would leave for a multitude of reasons. This was not the experience I envisioned when I signed up for my first hackathon as I had minimal knowledge of coding and volunteered to work mostly on the pitching aspect of the project. However, flying solo was incredibly rewarding and to visualise the final project containing all the features I wanted gave me lots of satisfaction. The list of challenges is long, ranging from time-crunching to figuring out how QR code APIs work but in the end, I learned an incredible amount with the help of Google.

## Accomplishments that we're proud of

I am proud of the app I produced using Glideapps. Although I was unable to include more intricate features to the app as I had hoped, I believe that the execution was solid and I’m proud of the purpose my application held and conveyed.

## What we learned

I learned that a trio of resilience, working hard and working smart will get you to places you never thought you could reach. Challenging yourself and continuing to put one foot in front of the other during the most adverse times will definitely show you what you’re made of and what you’re capable of achieving. This is definitely the first of many Hackathons I hope to attend and I’m thankful for all the technical as well as soft skills I have acquired from this experience.

## What's next for FlightBAE

Utilising GeoTab or other geographical softwares to create a logistical approach in solving the distribution of Oyxgen in India as well as other pressing and unaddressed bottlenecks that exist within healthcare. I would also love to pursue a tech-related solution regarding vaccine inequity as it is a current reality for too many.
## Inspiration

The estimated rate of Autism Spectrum Disorder among 5-17 year olds in Canada is 1 in 66. One challenge individuals on the Autism Spectrum face is difficulty detecting emotions on peoples faces. We wanted to build a learning tool that will aid in mapping faces to emotions, in real-time and leveraging intelligent facial recognition technology.

(<https://autismcanada.org/about-autism/>)

## What it does

The mobile app opens your phone camera and allows you to take a photo. After taking a photo, it redirects you to another page which shows you the most likely emotion it has detected on the face captured, as well as the probability of other emotions. It also uses text-to-speech to read out loud the most likely emotion, so that individuals who are not able to read still can use it.

## How we built it

We used Microsoft's Azure Cognitive Service, specifically, its Face API to detect emotions on images. We used the React Native framework to build our mobile application and tie together the User Interface, camera activity, text-to-speech, and Azure's Face API. We also took accessibility into account by creating large, easily visible buttons and text, and text-to-speech.

## Challenges we ran into

None of our team members had developed a mobile app, so there was a learning curve in getting ramped up with the required software. Updating our operating system and installing Xcode took a lot of time. We also struggled at the beginning connecting the Face API with the app. We were able to overcome this hurdle and learn more through the help of a mentor.

## Accomplishments that we're proud of

We are proud that we completed a functional app and we are able to demo it to people. We are also proud that we were able to bring to fruition our initial vision of creating a accessible learning tool for people on the Autism Spectrum, especially kids.

## What we learned

We learned that you don't need to be an expert in AI or Machine Learning in order to build intelligent applications that use these latest technologies. We also learned how to quickly develop mobile applications in React Native.

## What's next for Emotions Decoded

We will be publishing the application to the App Store, and we want to also release an Android version of the app. We also want to extend the functionality. For instance, using AI or Machine Learning to suggest an appropriate next action after detecting the emotion.