<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Python | Qianle (Bill) Chen - Academic CV</title><link>https://qianlechen.github.io/tags/python/</link><atom:link href="https://qianlechen.github.io/tags/python/index.xml" rel="self" type="application/rss+xml"/><description>Python</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Oct 2024 00:00:00 +0000</lastBuildDate><image><url>https://qianlechen.github.io/media/icon_hu_2bb485f65b31684d.png</url><title>Python</title><link>https://qianlechen.github.io/tags/python/</link></image><item><title>Air Quality Sensor Development Project</title><link>https://qianlechen.github.io/projects/atmoflow/</link><pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate><guid>https://qianlechen.github.io/projects/atmoflow/</guid><description>&lt;p&gt;Engineered a continuous environmental monitoring system that leverages BME280, LTR-559, and MICS6814 sensor technology with Python-based analytics for comprehensive, real-time pollutant tracking.&lt;/p&gt;
&lt;h2 id="project-overview"&gt;Project Overview&lt;/h2&gt;
&lt;p&gt;Developed a sophisticated air quality monitoring system that provides real-time data on environmental pollutants and conditions.&lt;/p&gt;
&lt;h2 id="key-features"&gt;Key Features&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Continuous Monitoring:&lt;/strong&gt; BME280, LTR-559, and MICS6814 sensor integration for comprehensive environmental data collection&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Python Analytics:&lt;/strong&gt; Real-time data processing and analytics for accurate pollutant tracking&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Mobile Application:&lt;/strong&gt; AtmoFlow app for Android and iOS that provides live air quality data tracking&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;User-Centered Design:&lt;/strong&gt; Cross-platform mobile app ensuring accessibility and a seamless user experience&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Real-Time Updates:&lt;/strong&gt; Live tracking of air quality metrics with user-friendly visualizations&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="technical-stack"&gt;Technical Stack&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Hardware:&lt;/strong&gt; BME280 (temperature, humidity, pressure), LTR-559 (light), MICS6814 (gas sensors)&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Software:&lt;/strong&gt; Python for data analytics and sensor integration&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Mobile:&lt;/strong&gt; Cross-platform development for iOS and Android&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Data Visualization:&lt;/strong&gt; Real-time charting and environmental data display&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="impact"&gt;Impact&lt;/h2&gt;
&lt;p&gt;This project demonstrates the practical application of IoT technology and data science to address environmental health concerns, making air quality data accessible to the general public through an intuitive mobile interface.&lt;/p&gt;</description></item></channel></rss>