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Project # 118
Air Quality Monitoring Sensor

Team Lead: Sumit Karki
Other Team Members: Pritam Gurung | Prabin Lamichhane | Kailash Adhikari | Yukesh Shrestha | Sandeep Dahal | Landon Bryant
Faculty Advisor(s): Chenxi Wang
Department: CSE
Project Type: Senior Design
Title: Air Quality Monitoring Sensor
Abstract: This project presents an IoT-Based Air Quality Monitoring System designed to collect, process, and visualize real-time environmental data using a low-cost and scalable architecture. The system integrates multiple air quality sensors with a Raspberry Pi to measure parameters such as particulate matter, temperature, humidity, and gas concentrations. Sensor data is transmitted to a backend service, stored in a structured database, and displayed through a live web-based dashboard for easy monitoring and analysis. The project emphasizes full system integration, including hardware assembly, backend API development, database implementation, and frontend visualization. A custom PCB design and Raspberry Pi display are incorporated to improve portability and reliability. The system enables continuous monitoring with real-time updates, supporting better environmental awareness and data-driven decision making. This prototype demonstrates how IoT technologies can be used to build affordable, scalable, and user-friendly air quality solutions, making it suitable for educational, research, and smart-environment applications.
Poster: View Poster #118 (PDF)
Judges Scoring: Submit Evaluation (judges only)