Intelligent Chemical Monitoring System Using Raspberry Pi, LoRa, and Machine Learning
Objective
The objective is to build a low-cost Raspberry Pi–based system that monitors chemical parameters in real time, uses LoRa for data transmission, and applies ML to predict risks for safer chemical management.
Abstract
This project presents an intelligent chemical monitoring system using Raspberry Pi, Arduino, LoRa communication, and machine learning. Sensor data is collected and analyzed on the Raspberry Pi to detect abnormal chemical conditions. When an anomaly is detected, an alert is sent via LoRa to the receiver Arduino, which activates a buzzer and displays warnings on an LCD. The system provides real-time monitoring, early hazard detection, and reliable long-range communication for industrial and environmental safety applications.
Keywords: Raspberry Pi, Arduino, LoRa, Machine Learning, Chemical Monitoring.
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:
- Raspberry pi
- Arduino UNO
- LCD
- MQ135
- MQ6
- MQ2
- DHT11
- Buzzer
- LORA
- Connectors-10.
Software requirements:
- Raspbian OS
- Arduino IDE
- Embedded C
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- 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
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
