AI IoT based RealTime Air Quality Index Reporting Gadget with Hazardous Gases Advisory System

Following Sustainable Development Goals (SDG), the project aims to provide an economical life-saving embedded gadget for real-time Air Quality Index (AQI) on-screen, SMS and Android application report, prediction, recommendation, and advisory (alarm) for the general pub

Project Title

AI IoT based RealTime Air Quality Index Reporting Gadget with Hazardous Gases Advisory System

Project Area of Specialization

Internet of Things

Project Summary

Following Sustainable Development Goals (SDG), the project aims to provide an economical life-saving embedded gadget for real-time Air Quality Index (AQI) on-screen, SMS and Android application report, prediction, recommendation, and advisory (alarm) for the general public interest of healthcare and awareness. The essential objective of an AQI is to rapidly publicize real-time information on air quality, especially pollutants having short-term impacts.?

Project Objectives

The objective of the project is to develop a life-saving smart portable device which updates the real-time atmospheric changes, detects numerous hazardous gases and alerts on emergency conditions. ?

• It alarms the user if senses the abrupt disastrous changes in surrounding by means of siren, application notification to user and trusted ones.?

• Mass Advisory System with Precaution Recommendation intended for Public Health  Awareness.?

• To develop, test and produce the economical product (to be commercialized). ?

• To finely deploy a tested AI enabled platform for IOT product panel with effective advisory module.?

• Provide authenticated, user-oriented access to the services. ?

• To collect real-time product data and use it for research purpose with user's privacy uncompromised.

Project Implementation Method

• An IoT based efficient embedded device will be designed, that will then be tested and deployed on AI enabled application using React; which will allow user not only observe the device data locally but also monitor from vast distances.?

• App deployed AI algorithm will provide the Air Quality Index prediction service for the better user's schedule.  ?

• Only authenticated synch access would be  provided to the user, third party cannot utilize data unless approved.?

• User will be enabled to give access to the trusted ones for safety purpose (i.e. alarming situations). ?

• Secure method for research on data would be utilized.?

Benefits of the Project

Economical Life-Saving Portable Device with On-Screen, SMS and Android Application interface with the following scopes attained;?

• Artificial Intelligence based Machine Learning projection and prediction of AQI based on the data collected via embedded sensors in device following Internet of Things (IoT) paradigm. ?

• Mass Advisory System with Precaution Recommendation intended for Public Health  Awareness.?

• Specified Alerts on Diseases (that can be caused due to certain environment for instance Viral diseases)

• Doable Proposed Solutions including Plantation needed as per local CO2 emission.?

• To collect real-time product data and use it for research purpose with user's privacy uncompromised.  ?

• Instant Reliable Data Availability following Sustainable Development Goals (SDG), attracts foreign and international standardized Environmental organizations.

Technical Details of Final Deliverable

At hardware level, the project uses several sensors including MICS-6814, MQ-Series, Dust Particular PMS 5003 Sensor (PM2.5, PM10), BME-280 sensor to measure Fine particulate matter (PM2.5, PM10), Carbon Dioxide (CO2), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Flammable hazardous gases alike Methane (CH?) and LPG Gases (hydrocarbons), and life endangering Carbon Monoxide (CO) and Smoke along with basic humidity, temperature and air pressure; alongwith ESP-8266 or MCU microcontroller; we use PCF-8574 IC to convert the analog input into digital input and the 4051 IC to converge the numerous inputs for microcontroller. Further for ourput is taken out on 1.8'' TFT 160x128 LCD display and a buzzer for alarm. 

Whereas at software level, the sensors data is then fed onto the Google Firebase database, its then utilized to fetch data and use for Android application and implement AI algorithm for AQI prediction and projection. The user's interface is the device screen and the android app, where he/she get real-time updates and gets recommendation for preliminary precautions, advisories and hazard updates. 

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

IT

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Clean Tech

Sustainable Development Goals

Good Health and Well-Being for People, Sustainable Cities and Communities, Responsible Consumption and Production, Climate Action, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com