## Inspiration

one of the big reason why people quit gym is because they can't wait for their long term goals, so people needs short term goals to achieve be

## What it does

I'm sure most of you have heard about Tamagochi or Digivice, this app is pretty same as those, as you can see from the name Gymivice.

## How we built it

I used Tizen studio since the galaxy watch that I have is old, and it is developed with HTML, CSS, and Javascript

## Challenges we ran into

there is no much information about tizen studio and I didn't know that old galaxy watches are supported by tizen not arduino, so I wasted more than 24 hour for doing nothing. since I decided to work alone, it was pretty

## Accomplishments that we're proud of

I'm pretty proud that I did this much of work even if I don't have any knowledges about proper web development and wearOS development.

## What we learned

* I thought working alone would be easier since I don't have to deal with problems between teammates, But I was wrong working alone and doing all of the stuff(software development, manage, design) by myself is way harder.
## What's next for Gymivice
Even if I did almost nothing on this project, I'm going to continue this project. the features that I'm going to implement is
* activity detection, the character will do same activity as you( it will requires a lot of art work)
* advanture feature, since the main theme of this project is to combine exercise and game, I will add moreadvanture concepts into it such as to move to next village or stage, you have to walk in real life to get there.
* features that the users would find motivations or short term goals to keep their gym journey, such as giving coins after they acheive certein amount of work out or certain level, and they can use coins to custumize their character's outfit or their house in the game
## Problem

Two of us are entrepreneurs and we know that without a solid intro, our chances of getting a meeting with a top VC are very little. As we are versed in the topic, we learned that a lot of **VCs are bombarded with email and they have very little time to be able to meet with all and spend time** (Fred Wilson archived 1625 unread emails on new year's eve). As a young entrepreneur getting started, your chances of being introduced to a top tier VC are very little, and that means that VCs might miss out the next unicorn.

## Solution

A smart form that startups would fill instead of bombarding VCs with unanswered emails.

## Opportunity

The barriers to entry keep getting lower and lower. The ability for someone to create almost anything they want has become democratized. With the rise of funding demand, VCs have to **develop a new way that allows them to filter and analyze companies**. The opportunity lies in evaluating startups based on their responses and framework, giving a chance for the largest number of startups to be heard. From the VC side, the opportunity lies in **cleaning out their email and increasing the number of startups looked at which minimizes the risk of letting the next unicorn slip under their shoulder.**

## What it does

The form asks companies general questions. It can categorize startups and compare them in a clear way for the VC to look at and decide on who to respond to.
A query is available for the investor side where, when a company name is typed, it **automatically analyzes the list of currently registered companies using NLP similarities and analyzes potential competitors and differences between the two companies**.

## How we built it

The backend is composed of a server that can take in and process the information that a company puts into the web app. Additionally, it uses **information extraction and entity recognition to identify and deduct key aspects about the startup dynamically.**
We also used **web scraped Bloomberg articles with a Quora question dataset** to build a recent corporate and appropriate training set.
In the backend, we use a **deep neural network architecture composing of two LSTM units for word semantic embedding for the two documents linked to a series of dense layers terminated with a single unit softmax output for sentence similarity.**

## Challenges we ran into

The very first challenge we ran into was finding the data about early-stage companies. We looked at some YC applicants alongside some financial information from Crunchbase in order to be able to create a few companies' portfolio. The second challenge was the competitive analysis. We could analyze quantitative data and make a use of it.
Last but not least, doing the semantic questions analysis to be able to ask specific questions was a hard task. The architecture and data to train on were not very obvious.

## Accomplishments that we are proud of

We are very proud to have a beta version working full-on. We also have a cool UI.

## What we learned

We learned how hard it is to actually be able to get the platform smart enough to ask targeted questions and to train the model.

## What's next for Loopbox

We would love to enhance our post-processing algorithms to make sure we are **making the most out of the data we have**. That being said, it would be great to **put the form in the hands of early-adopters and start getting real feedback about the UX.** **Ideally, the form learns to ask targetted questions.**
# Inspiration 🌟

**What is the problem?**
Physical activity early on can drastically increase longevity and productivity for later stages of life. Without finding a dependable routine during your younger years, you may experience physical impairment in the future. 50% of functional decline that occurs in those 30 to 70 years old is due to lack of exercise.

During the peak of the COVID-19 pandemic in Canada, nationwide isolation brought everyone indoors. There was still a vast number of people that managed to work out in their homes, which motivated us to create an application that further encouraged engaging in fitness, using their devices, from the convenience of their homes.

# Webapp Summary 📜

Inspired, our team decided to tackle this idea by creating a web app that helps its users maintain a consistent and disciplined routine.

# What does it do? 💻

*my trAIner* plans to aid you and your journey to healthy fitness by displaying the number of calories you have burned while also counting your reps. It additionally helps to motivate you through words of encouragement. For example, whenever nearing a rep goal, *my trAIner* will use phrases like, “almost there!” or “keep going!” to push you to the last rep. Once completing your set goal *my trAIner* will congratulate you.

We hope that people may utilize this to make the best of their workouts. Utilizing AI technology to help those reach their rep standard and track calories, we believe could help students and adults in the present and future.

# How we built it:🛠

To build this application, we used **JavaScript, CSS,** and **HTML.** To make the body mapping technology, we used a **TensorFlow** library. We mapped out different joints on the body and compared them as they moved, in order to determine when an exercise was completed. We also included features like parallax scrolling and sound effects from DeltaHacks staff.

# Challenges that we ran into 🚫

Learning how to use **TensorFlow**’s pose detection proved to be a challenge, as well as integrating our own artwork into the parallax scrolling. We also had to refine our backend as the library’s detection was shaky at times. Additional challenges included cleanly linking **HTML, JS, and CSS** as well as managing the short amount of time we were given.

# Accomplishments that we’re proud of 🎊

We are proud that we put out a product with great visual aesthetics as well as a refined detection method. We’re also proud that we were able to take a difficult idea and prove to ourselves that we were capable of creating this project in a short amount of time. More than that though, we are most proud that we could make a web app that could help out people trying to be more healthy.

# What we learned 🍎

Not only did we develop our technical skills like web development and AI, but we also learned crucial things about planning, dividing work, and time management. We learned the importance of keeping organized with things like to-do lists and constantly communicating to see what each other’s limitations and abilities were. When challenges arose, we weren't afraid to delve into unknown territories.

# Future plans 📅

Due to time constraints, we were not able to completely actualize our ideas, however, we will continue growing and raising efficiency by giving ourselves more time to work on *my trAIner*. Potential future ideas to incorporate may include constructive form correction, calorie intake calculator, meal preps, goal setting, recommended workouts based on BMI, and much more. We hope to keep on learning and applying newly obtained concepts to *my trAIner*.