Intelligent Vertical Garden for Indoor Air Quality Monitoring Using IoT

Project Code :TEMBMA3782

Objective

The objective is to create an AI bot that monitors exam halls in real time, detects suspicious movements and sounds, and sends instant alerts to invigilators to prevent malpractice and ensure exam fairness.

Abstract

This project presents an AI-driven disaster forecasting and response system using Arduino, DHT11, MQ135 gas sensor, pressure sensor, rain drop sensor, LCD display, and buzzer. The sensors continuously monitor environmental conditions such as temperature, humidity, air quality, atmospheric pressure, and rainfall. The collected data is transmitted to a computer, where a CNN-based prediction model analyzes the sensor readings to forecast potential disaster situations. The monitored data and prediction results are displayed on the LCD, while the buzzer provides alerts whenever abnormal conditions are detected. The system offers a low-cost and intelligent solution for real-time environmental monitoring, disaster prediction, and early warning generation.

Keywords: Arduino, CNN, Disaster Forecasting, Environmental Monitoring, Early Warning System.

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

Block Diagram

Specifications

Hardware components:

  • Arduino UNO
  • LCD
  • DHT11
  • MQ135 Sensor
  • Pressure Sensor
  • Raindrop Sensor
  • Buzzer
  • connectors-10

 Software requirements:

  • Arduino IDE
  • Embedded C
  • Python

Learning Outcomes

  • Arduino pin diagram and architecture
  • How to install Arduino UNO / setup software
  • Setting up and installation procedure for Arduino UNO
  • Introduction to Arduino UNO environment / development setup Basic programming in Arduino UNO (Embedded C)
  • Basics of Embedded programming using Arduino UNO 
  • Basics of IoT platforms
  • Working of power supply
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering (software, tools, hardware components, etc.)
    • Schematic preparation
    • Code development and debugging
    • Hardware development and debugging
    • Development of the project and output testing
  • Practical exposure to:
    • Hardware and software tools
    • Solution providing for real-time problems
    • Working with team/individual
    • Work on creative ideas
  • Skills developed:
    • Project development skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginative skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills


Demo Video

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