IoT Framework for Real Time Weather Monitoring using Machine Learning Techniques
Objective
The main objective of this project is to develop an IoT framework for real-time weather monitoring that incorporates machine learning techniques, enabling accurate prediction and analysis of weather conditions for various applications and industries.
Abstract
The integration of Internet of Things (IoT) technology and machine learning holds immense potential for revolutionizing weather monitoring systems. This paper presents an IoT Framework for Weather Monitoring that leverages machine learning techniques. The framework incorporates a range of essential components, including Arduino microcontrollers, environmental sensors such as DHT11, LDR, Raindrop, Gas (MQ135), and Barometric sensors, as well as a NODEMCU for data transmission, and an LCD display for local information dissemination.
This framework collects comprehensive data on weather conditions. The environmental sensors capture critical parameters such as temperature, humidity, light intensity, rainfall, gas levels, and barometric pressure. The data is then transmitted to a central hub via NODEMCU, enabling remote monitoring and analysis. Machine learning algorithms are applied to this data to generate weather forecasts, detect trends, and provide predictive insights. The LCD display offers immediate access to localized weather information. This IoT framework represents a significant advancement in weather monitoring, offering, data-driven insights that can support a range of applications, from agriculture and disaster management to urban planning and climate research.
Keywords: Arduino, NODEMCU, IOT, Machine learning, Barometric Sensor
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
- DHT11 Sensor
- LDR Sensor
- Raindrop Sensor
- Gas Sensor(MQ135)
- Barometric Sensor
- LCD
- NODEMCU
Software Components:
- Arduino IDE
- Embedded C
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino IDE software
- Setting up and installation procedure for Arduino
- Introduction to Arduino IDE
- Basic coding in Arduino IDE
- Working of LCD
- Interface LCD with Arduino
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software’s, 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.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
Paper Publishing
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