AIRPROOF

Team 48

Swapnil Debb, Dave Czerpak, Steven Packard, Yasmeen Shalabi

Problem Statement 1 Min

• Identified Problem: Developing a sustainable, open-source air quality monitoring system utilizing IoT, blockchain, and machine learning technologies, initially focused on Newark but with scalable potential to other locations, to provide transparent, real-time data for informed decision-making and community engagement.
• Target Audience: Newark residents; local government agencies responsible for environmental regulations; researchers and scientists; tech enthusiasts
• Themes: Sustainable and Green Urban Design
• Importance of the Problem: Directly impacts public health, environmental sustainability, social equity, economic stability, and the effectiveness of regulatory policies

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Project Description 1 Min

• Solution Overview: A compact, plug-and-play air quality monitoring system utilizing Arduino and blockchain technology to track pollutants, with real-time data accessible through a frontend website, initially focusing on Newark and expandable to other locations

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• Unique Value Proposition: Our solution offers a seamlessly integrated, open-source platform combining IoT sensor technology, blockchain security, and machine learning insights, empowering users with real-time, transparent air quality data for informed decision-making and community-driven environmental action.

Technical Description 2-3 Min

• Hardware Components: MQ135, MHMQ7, LCD Display, protective enclosure
• Software & Tools: Blockchain, large language model, python, arduino, fusion 360
• Technical Challenges:

-implementing blockchain system and updating metadata for the llm to grab data off of. Solution-created our own blockchain testnet and learned how to implement an automated data posting system

-various hallucination with our llm. Solution- fintenuning on custom data

-fitment issues due to size of pins on the display. Solution- modified our 3D printed case twic to fit all the parts

Demo 1-2 Min

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Questions 2 Min