<small>_**Full-stack IoT pipeline: investigating whether climate news influences household energy consumption**_</small> During the **COP26 climate buzz**, my housemates and I started noticing how much energy and climate talk filled our feeds. It made me wonder: **Does all this climate news actually change how we use electricity at home?** So... I decided to find out... I explored the correlation between my household energy consumption and news about climate change shared on Twitter. **spoiler: there is no correlation...*** ![[../assets/Attachments/iot/83B7BAC1-8755-4D47-852D-5DB7F0461902_1_201_a.jpeg]] ## **how did i do it ?** ### **1. electricity data collection** Track my household electricity with the red flashes on my energy meters, a ligh sensor and ESP32. ![[../assets/Attachments/iot/adfrnd.gif]] ### **2. collect media data** Used twitter API to collect tweets about "climate change" and "energy". ![[../assets/Attachments/iot/adfvfz.gif]] ### **3. live storage** Used MongoDB for data storage and AWS EC2 for hosting scripts. ![[../assets/Attachments/iot/adfv3e.gif]] ### **4. live feedback** Built a streamlit app to provide real-time electricity and tweet data and their correlation. ![[../assets/Attachments/iot/adfv7w.gif]] Check the [**Code**](https://github.com/cocoritzy/Energy-prediction-algorithms)