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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>BioSense-AI Project</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
background-color: #f4f4f4;
}
.container {
width: 80%;
margin: auto;
overflow: hidden;
}
header {
background: #8B008B; /* Dark red and violet mix */
color: #fff;
padding-top: 30px;
min-height: 70px;
border-bottom: #800000 3px solid; /* Dark red */
}
header a {
color: #fff;
text-decoration: none;
text-transform: uppercase;
font-size: 16px;
}
header ul {
padding: 0;
list-style: none;
}
header ul li {
display: inline;
padding: 0 20px 0 20px;
}
header #branding {
float: left;
}
header #branding h1 {
margin: 0;
}
header nav {
float: right;
margin-top: 10px;
}
.intro {
background: #6A0DAD; /* Violet */
color: #ffffff;
padding: 50px 0;
text-align: center;
}
.intro h1 {
margin: 0;
padding-bottom: 20px;
}
.intro p {
font-size: 20px;
}
.intro img {
max-width: 100%;
height: auto;
max-height: 400px; /* Restrict height to make it fit better */
}
.content {
padding: 20px;
}
.content h2 {
color: #6A0DAD; /* Violet */
}
.content img {
max-width: 100%;
height: auto;
}
.footer {
background: #800000; /* Dark red */
color: #ffffff;
text-align: center;
padding: 30px 0;
margin-top: 30px;
}
</style>
</head>
<body>
<header>
<div class="container">
<div id="branding">
<h1>BioSense-AI</h1>
</div>
<nav>
<ul>
<li><a href="#about">About</a></li>
<li><a href="#technologies">Technologies</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</nav>
</div>
</header>
<section class="intro">
<div class="container">
<h1>Welcome to BioSense-AI</h1>
<p>ECG-PPG hardware and a Mobile App for body signal analysis</p>
<img src="https://github.com/BioSense-AI/BioSense-AI.github.io/blob/main/src/IntroPic.jpg?raw=true" alt="BioSense-AI Image">
</div>
</section>
<div class="content container">
<section id="about">
<h2>About the Project</h2>
<p>BioSense-AI is a software-hardware project focusing on disease prediction using ECG-PPG, temperature, and text prompts. Our pocket-size electronic device, combined with a mobile app, displays and analyzes body signals with a custom multi-model deep learning architecture.</p>
<p>Signals undergo amplification and filtering via custom analog circuits. Amplified signals are then transmitted to an Orange Pi Zero 2W SBC from an ADC for digital processing. The system utilizes a custom multi-model deep learning architecture with interpretability. Ongoing development includes the creation of a mobile app for user access to the AI model. Users can interact with the app by scanning ECG reports and other prompts, catering to hospitals without the electronic device.</p>
</section>
<section id="technologies">
<h2>Tools & Technologies Used</h2>
<ul>
<li>PyTorch</li>
<li>GradCAM</li>
<li>lime</li>
<li>Analog Filter Design</li>
<li>Setting up Orange Pi zero 2W SBC for custom tasks</li>
<li>I2C protocol</li>
<li>ADC</li>
<li>Flutter</li>
</ul>
</section>
</div>
<footer class="footer">
<div class="container">
<p>© 2023 BioSense-AI. All rights reserved.</p>
</div>
</footer>
</body>
</html>