## Inspiration 💡

Do your eyes ever feel strained and dry after hours and hours spent staring at screens? Has your eye doctor ever told you about the 20-20-20 rule? Good thing we’ve automated it for you along with personalized analysis of your eye activity using AdHawk’s eye tracking device.

The awesome AdHawk demos blew us away, and we were inspired by its seemingly subtle, but powerful features: it could track the user's gaze in three dimensions, recognize blink events, and has an external camera. We knew that our goal to remedy this healthcare crisis could be achieved with AdHawk.

## What it does 💻

Poor eye health has become an increasingly important issue in today’s digital world and we want to help. While you’re working at your desktop, you’ll wear the wonderful Adhawk glasses. Every 20 minutes or so, our connected app will alert you to look away for a 20 second eye break. With the eye tracking, you’ll be forced to look at least 20 feet–otherwise, the timer pauses.

We also made an eye exercise game available to play where you move a ball around to hit cubes randomly placed on the screen using your eyes. This engages the eye muscles in a fun and exciting way to improve eye tracking, eye teaming and myopia.

## How we built it 🛠️

Our frontend uses React.js & Styled Components and React Three Fiber for the eye exercise game. Our backend uses Python via AdHawk's SDK with Flask and Firebase for our database.

## Challenges we ran into ⛰️

Setting up the glasses to detect the depth of our sight accurately was difficult as this was the key metric to ensure the user was taking a 20 feet eye break for 20 seconds. As well, connecting this data to the frontend was a bit of a challenge. However, with our Flask and React tech stack, it was an easy, streamlined integration.

As well, we wanted to record analytics of our user’s screen time by taking any instances where their viewing distance was closer than a certain amount. It would give a user a chance to gauge their eye health and better understand their true viewing habits. This was a bit of a challenge as it was our first time using CockroachDB.

## Accomplishments that we're proud of 🏅

As coders and avid tech users, we are proud to have built a functioning app that we would actually use in our lives. Many of us personally struggle with vision problems and Visionary makes it so easy to help reduce these issues, whether it's myopia or eye strain. We’re super proud of the frontend, and the fact that we were able to incorporate the incredible Adhawk glasses into our project successfully.

## What we learned 📚

Start small and dream big. We ensured that the glasses would be able to track viewing distance and send that data to our frontend first before moving on to other features, like a landing page, data analytics, and our database setup.

## What's next for Visionary 🥅

We would love to incorporate other use cases for the Adhawk glasses, including more guided eye exercises with eye tracking, focus tracking by ensuring that the user’s eyes stay on screen, and so much more. Customized settings are also a next step. Visionary would also make for an awesome mobile app so that users can further reduce eye strain on their phones and tablets. The possibilities are truly, truly endless.
## Inspiration

Our team focuses on real-world problems. One of our own classmates is blind, and we've witnessed firsthand the difficulties he encounters during lectures, particularly when it comes to accessing the information presented on the board.

It's a powerful reminder that innovation isn't just about creating flashy technology; it's about making a tangible impact on people's lives. "Hawkeye" isn't a theoretical concept; it's a practical solution born from a genuine need.

## What it does

"Hawkeye" utilizes Adhawk MindLink to provide essential visual information to the blind and visually impaired. Our application offers a wide range of functions:

* **Text Recognition**: "Hawkeye" can read aloud whiteboard text, screens, and all text that our users would not otherwise see.
* **Object Identification**: The application identifies text and objects in the user's environment, providing information about their size, shape, and position.
* **Answering Questions** Hawkeye takes the place of Google for the visually impaired, using pure voice commands to search

## How we built it

We built "Hawkeye" by combining state-of-the-art computer vision and natural language processing algorithms with the Adhawk MindLink hardware. The development process involved several key steps:

1. **Data Collection**: We used open-source AI models to recognize and describe text and object elements accurately.
2. **Input System**: We developed a user-friendly voice input system that can be picked up by anyone.
3. **Testing and Feedback**: Extensive testing and consultation with the AdHawk team was conducted to fine-tune the application's performance and usability.

## Challenges we ran into

Building "Hawkeye" presented several challenges:

* **Real-time Processing**: We knew that real-time processing of so much data on a wearable device was possible, but did not know how much latency there would be. Fortunately, with many optimizations, we were able to get the processing to acceptable speeds.
* **Model Accuracy**: Ensuring high accuracy in text and object recognition, as well as facial recognition, required continuous refinement of our AI models.
* **Hardware Compatibility**: Adapting our software to work effectively with Adhawk MindLink's hardware posed compatibility challenges that we had to overcome.

## Accomplishments that we're proud of

We're immensely proud of what "Hawkeye" represents and the impact it can have on the lives of blind and visually impaired individuals. Our accomplishments include:

* **Empowerment**: Providing a tool that enhances the independence and quality of life for visually impaired individuals. To no longer rely upon transcribers and assistants is something that real
* **Inclusivity**: Breaking down barriers to education and employment, making these opportunities more accessible.
* **Innovation**: Combining cutting-edge technology and AI to create a groundbreaking solution for a pressing societal issue.
* **User-Centric Design**: Prioritizing user feedback and needs throughout the development process to create a genuinely user-friendly application.

## What we learned

Throughout the development of "Hawkeye," we learned valuable lessons about the power of technology to transform lives. Key takeaways include:

* **Empathy**: Understanding the daily challenges faced by visually impaired individuals deepened our empathy and commitment to creating inclusive technology.
* **Technical Skills**: We honed our skills in computer vision, natural language processing, and hardware-software integration.
* **Ethical Considerations**: We gained insights into the ethical implications of AI technology, especially in areas like facial recognition.
* **Collaboration**: Effective teamwork and collaboration were instrumental in overcoming challenges and achieving our goals.

## What's next for Hawkeye

The journey for "Hawkeye" doesn't end here. In the future, we plan to:

* **Expand Functionality**: We aim to enhance "Hawkeye" by adding new features and capabilities, such as enhanced indoor navigation and support for more languages.
* **Accessibility**: We will continue to improve the user experience, ensuring that "Hawkeye" is accessible to as many people as possible.
* **Partnerships**: Collaborate with organizations and institutions to integrate "Hawkeye" into educational and workplace environments.
* **Advocacy**: Raise awareness about the importance of inclusive technology and advocate for its widespread adoption.
* **Community Engagement**: Foster a supportive user community for sharing experiences, ideas, and feedback to further improve "Hawkeye."

With "Hawkeye," our vision is to create a more inclusive and accessible world, where visual impairment is no longer a barrier to achieving one's dreams and aspirations. Together, we can make this vision a reality.
## Inspiration

Have you ever wanted to go tandem biking but lacked the most important thing, a partner? We realize that this is a widespread issue and hope to help tandem bikers of all kinds, including both recreational users and those who seek commuting solutions.

## What it does

Our project helps you find a suitable tandem biking partner using a tinder-like system. We develop routes and the program also includes features such as playlist curation and smart conversation starters.

## How we built it

The web app was developed using django.

## Challenges we ran into

Developing an actual swipe mechanism was fairly difficult.

## Accomplishments that we're proud of

We're proud of our members' ingenuity in developing solutions utilizing django, an interface with which we all lacked experience.

## What we learned

We learned that tons of people are actually really interested in tandem biking and would download the app.

## What's next for Tander

Three. Seat. Tandem. Bike.