SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY

December 2018
Vol-4, Issue-6
Paper ID: 9339
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
MISC6814 MCM811 PM2.5 AWS Cloud ESP32 OLED Display.
Abstract
Today air pollution has arisen as a global public health problem and is identied as a major environmental health hazard by agencies such as the World Health Organization (WHO) . An increase in the concentration of pollutants-both gaseous and solid-is among the largest health risk in the world. Air pollution is responsible for 55 lakh deaths of people every year all over the world. Air pollution is the forth main reason for large numbers of death and causing respiratory diseases all over the world. Recently, air pollution acquired critical dimensions and the air quality in the most cities that monitor outdoor pollution fail to meet WHO guidelines for safe level. The levels of PM2.5 and PM10 (Air-born particles smaller than 2.5 micrometers in diameter and 10 micrometers in the diameter). In existing system when device detect PM2.5 particle at that time device causes jam because this device totally depend on hardware in that pipe and filter papers are used to calculate how many particle was obtain for particular time. This system can not work automatically. To overcome this problem in our project we have try to solve the real time problem In this we are using the sensor like MISC6814, MCM811,PM2.5 and used the AWS Cloud for data storage purpose,ESP32Microcontroller,OLED Display and power supply using that detects harmful gaseous and update on webapp also alert to the people.

Author Information

# Name Institute / Affiliation
1 Patil Madhuri Abhiman PVGCOE, Nashik
2 Pawar Pallavi Vijay PVGCOE, Nashik
3 Thakare Komal Dnyandev PVGCOE, Nashik
4 Borse Harshali Sanjay PVGCOE, Nashik
5 Lahare Prasad Ashokarao PVGCOE, Nashik

How to Cite

Use the following formats to cite this article in your research.

APA Style
Abhiman, Patil Madhuri, Vijay, Pawar Pallavi, Dnyandev, Thakare Komal, Sanjay, Borse Harshali, & Ashokarao, Lahare Prasad (2018). SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY. International Journal of Advance Research and Innovative Ideas In Education, 4(6), 469-472.
MLA Style
Abhiman, Patil Madhuri, et al. "SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 6, 2018, pp. 469-472.
IEEE Style
Patil Madhuri Abhiman, Pawar Pallavi Vijay, Thakare Komal Dnyandev, Borse Harshali Sanjay, and Lahare Prasad Ashokarao, "SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 6, pp. 469-472, 2018.
Vancouver Style
Abhiman Patil Madhuri, Vijay Pawar Pallavi, Dnyandev Thakare Komal, Sanjay Borse Harshali, Ashokarao Lahare Prasad. SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(6):469-472.
Harvard Style
Abhiman, Patil Madhuri, Vijay, Pawar Pallavi, Dnyandev, Thakare Komal, Sanjay, Borse Harshali, & Ashokarao, Lahare Prasad (2018) 'SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY', International Journal of Advance Research and Innovative Ideas In Education, 4(6), pp. 469-472.
Chicago Style
Abhiman, Patil Madhuri, et al. "SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY." International Journal of Advance Research and Innovative Ideas In Education 4, no. 6 (2018): 469-472.
Turabian Style
Abhiman, Patil Madhuri, et al. "SMART IOT BASED POLLUTION FORECASTING (PM 2.5)SYSTEM FOR SMART CITY." International Journal of Advance Research and Innovative Ideas In Education 4, no. 6 (2018): 469-472.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable