Detection and Predicting Air Pollution Level in a Specific City Using Machine Learning Models

Project Code :TCMAAN95

Objective

The regulation of air pollutant levels is rapidly becoming one of the most important tasks. It is important that people know what the level of pollution in their surroundings is and takes a step towards fighting against it.

Abstract

The regulation of air pollutant levels is rapidly increasing and its one of the most important tasks for the governments of developing countries, especially India. It is important that people know what the level of pollution in their surroundings is and takes a step towards fighting against it. 

The meteorological and traffic factors, burning of fossil fuels, industrial parameters such as power plant emissions play significant roles in air pollution. Among all the particulate matter (PM) that determine the quality of the air. When its level is high in the air, it causes serious issues on people’s health. Hence, controlling it by constantly keeping a check on its level in the air is important.


NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE SPECIFICATIONS

  • Operating System: Windows and Android
  • SDK IDE: Android Studio 3.3
  • Virtual Emulator: Nexus Pixel 2
  • Programming Language: Java
  • Front End: Xml
  • Server scripting Language: PHP
  • Database: MySQL

HARDWARE SPECIFICATIONS

  • CPU type: Intel i7
  • Ram size: 16 GB
  • Hard disk capacity: 1TB
  • Monitor type: 15 Inch color monitor
  • Keyboard type: Internet keyboard
  • Mobile: Android

Learning Outcomes

  • How to SPM value.
  • How to predict the pollution.
  • Real time application scenarios.
  • Creating the model.
  • How model gets trained.
  • How ML can work and real time applications.
  • Android architecture.
  • Basic about java.
  • Basic about MySQL.
  • Knowledge about server side programming.
  • Difference between client side and server side programming language.
  • Knowledge about server.
  • Knowledge about database and queries.
  • Knowledge about Volley API.
  • How to communicate with API.
  • How API Communicate with Server.
  • What are Packages and dependencies regarding the app?
  • What are various versions of android app and android operating system.
  • About Android studio.
  • Client side validation.
  • Server side validation.
  • Difference between client side validations.
  • Different Debugging Techniques.
  • Deployment of app.
  • About play store deployment.
  • What is manifest?
  • About XML.
  • Widgets in android.
  • Views in android.
  • Layouts in android.
  • How to design the user Interface.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.

Demo Video

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