## Inspiration

I, Jennifer Wong, went through many mental health hurdles and struggled to get the specific help that I needed. I was fortunate to find a relatable therapist that gave me an educational understanding of my mental health, which helped me understand my past and accept it. I was able to afford this access to mental health care and connect with a therapist similar to me, but that's not the case for many racial minorities. I saw the power of mental health education and wanted to spread it to others.

## What it does

Takes a personalized assessment of your background and mental health in order to provide a curated and self-guided educational program based on your cultural experiences.

You can journal about your reflections as you learn through watching each video. Videos are curated as an MVP, but eventually, we want to hire therapists to create these educational videos.

## How we built it

## Challenges we ran into

* We had our engineers drop the project or couldn't attend the working sessions, so there were issues with the workload. Also, there were issues with technical feasibility since knowledge on Swift was limited.

## Accomplishments that we're proud of

Proud that overall, we were able to create a fully functioning app that still achieves our mission. We were happy to get the journal tool completed, which was the most complicated.

## What we learned

We learned how to cut scope when we lost engineers on the team.

## What's next for Empathie (iOS)

We will get more customer validation about the problem and see if our idea resonates with people. We are currently getting feedback from therapists who work with people of color.

In the future, we would love to partner with schools to provide these types of self-guided services since there's a shortage of therapists, especially for underserved school districts.
## Inspiration

**A lot of people have stressful things on their mind right now.** [According to a Boston University study, "depression symptom prevalence was more than 3-fold higher during the COVID-19 pandemic than before."](https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770146)
Sometimes it’s hard to sleep or get a good night’s rest because of what happened that day. If you say or write everything down, it helps get it out of your mind so you’re not constantly thinking about it. Diaries take a long time to write in, and sometimes you want to talk. **Voice diaries aren't common and they are quicker and easier to use than a real diary.**

## What it does

When you're too tired to write out your thoughts at the end of the day, **you can simply talk aloud and our app will write it down for you, easy right?**

Nite Write asks you questions to get you thinking about your day. It listens to you while you speak. You can take breaks and continue speaking to the app. You can go back and look at old posts and reflect on your days!

## How we built it

* We used **Figma** to plan out the design and flow of our web app.
* We used **WebSpeech API** and **JavaScript** to hook up the speech-to-text transcription.
* We used **HTML** and **CSS** for the front-end of the web app.
* And lastly, we used **Flask** to put the entire app together.

## Challenges we ran into

Our first challenge was understanding how to use Flask both in its usage of routes, templates, and syntax. Another challenge was the lack of time and integrating the different parts of the app because we're virtual. It was difficult to coordinate and use our time efficiently since we lived all over the country in different timezones.

## Accomplishments that we're proud of

**We are proud of being able to come together virtually to address this problem we all had!**

## What we learned

We learned how to use Flask, WebSpeech API, and CSS. We also learned how to put together a demo with slides, work together virtually.

## What's next for Nite Write?

* Show summaries and trends on a person's most frequent entry topics or emotion
* Search feature that filters your diary entries based on certain words you used
* Light Mode feature
* Ability to sort entries based on topic/etc
## Inspiration

The number of people who struggle with mental health is greater then ever, and is continuing to grow. We both personally know our closest friends who struggle with mental health issues, and we want to know what the best thing is that we can do for them. Developing a platform where people can express how they like to be treated during times of high stress, as well as be notified about what your potential mental health cycle could be, is what Espect solves.

## What it does

Espect monitors one's day to day mental health level. This is done by inputting 6 different categories of mental health influences, and then uses machine learning to determine what ones mental state would look like in the near future. It is also used as a platform for people to share what is best for them, in terms of what other people can do, in order to ensure the best treatment and resources.

## How we built it

We used Microsofts Azure to develop the machine learning algorithm, and used Apple's Xcode for the app interface. Stop by the demo or check out the GitHub to learn more.

## Challenges we ran into

Some challenges we ran into were getting the back-end (Python, Azure) to connect with the front-end (Swift, iOS). The demo will be done using 2 machines due to this. Some other challenges we overcame were having to pivot and change directions completely about 6 hours in to the hackathon. Plus, all of the languages we worked with, we had no prior experience with, but it was a fun learning experience.

## Accomplishments that we're proud of

Using Illustrator, Azure and machine learning was really cool. We also learned Swift and Python over the course of this challenge. We're very happy with the way this turned out.

## What we learned

We learned how to use software such as Illustrator and Azure as well as app development and implementation of machine learning algorithms. We also learned about time management at a hackathon and how to have good communication between front-end and back-end devs.

## What's next for ESPECT

We hope we can get the app integration working and hopefully get an Android version working as well. As for features, we hope to incorporate passive data such as weather, news and local politics into our inputs, as well as things such as Fitbit/smart watch data. This will help diversify our inputs in case the user forgets/is unable/doesn't want to enter data for the day.

Come chat with us if you have any questions :)