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<!DOCTYPE HTML>
<!--
Forty by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Conner Wallace</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload">
<!-- Wrapper -->
<div id="wrapper">
<!-- Header -->
<!-- Note: The "styleN" class below should match that of the banner element. -->
<header id="header" class="alt">
<a href="index.html" class="logo"><strong>Conner Wallace</strong></a>
<nav>
<a href="#menu">Menu</a>
</nav>
</header>
<!-- Menu -->
<nav id="menu">
<ul class="links">
<li><a href="index.html">Home</a></li>
<li><a href="about.html">About Me</a></li>
</ul>
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<!-- Note: The "styleN" class below should match that of the header element. -->
<section id="banner" class="style2">
<div class="inner">
<span class="image">
<img src="images/BiteWise/bitewiseLayeredScreen.png" alt="" />
</span>
<header class="major">
<h1>HuskyMaps</h1>
</header>
<div class="content">
<p>Winning project for <a href= "https://campus.capitalone.com/summits/">Liberty Mutual's annual intern hackathon.</a>.
</p>
</div>
</div>
</section>
<!-- Main -->
<div id="main" role="main">
<!-- One -->
<section id="one">
<div class="inner">
<header class="major">
<h2>The Problem</h2>
</header>
<p>Before Bitewise, there was no convenient way to derive specific products from something as simple as a picture. If you went out to eat and saw an interesting dish you wanted to make later, or even saw something on social media, you had no practical way of figuring out what went into making it.
</p>
</div>
</section>
<!-- Two -->
<section id="two" class="spotlights">
<section>
<span class="image">
<img src="images/BiteWise/computerVision.png" alt="" data-position="center center" />
</span>
<div class="content">
<div class="inner">
<header class="major">
<h3>The Solution</h3>
</header>
<p>Enter BiteWise. All the user needs to do is upload a photo, and Bitewise handles the rest.
Image bytecode data is first stored in Google Firebase, where the hosted url is then passed into Clarifai's food recognition API. The output of that is refined through Spoonacular's product data API asynchronously to offer specific product recommendations and reference prices which are dynamically summed according to selected products.</p>
</div>
</div>
</section>
<section>
<span class="image">
<img src="images/BiteWise/bitewiseLayeredScreen.png" alt="" data-position="center center" />
</span>
<div class="content">
<div class="inner">
<header class="major">
<h3>What's next? </h3>
</header>
<p>In the future, as we scale, we could continue to layer API's to retrieve specific products or even train a more granular machine learning model that recognizes brands (or at least more popular ones).
In addition, Bitewise would benefit greatly under a partnership with big grocery chains like Walmart or Whole Foods, and could provide even more accurate and relevant data with access to developer and/or internal API's.
</p>
</div>
</div>
</section>
</section>
<!-- Three -->
<section id="three">
<div class="inner">
<header class="major">
<h2>More Information</h2>
</header>
<p>The project is currently available on our Team's Github. Please feel free to email me if you would like to see more.</p>
<ul class="actions">
<li><a href="https://github.com/bitewise-club/bitewise-app" class="button next">Github</a></li>
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