AI based IoT Projects

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AI based IoT Projects

AI when added to IOT it analyzes the data of those devices which are connected and make decision and act as per the data received & will be able to control the application without any human intervention.
CITL offers such latest technological industry trending projects which can be opted by both cse and ece students. Get hand-on towards such projects at CITL and gain industrial exposure even before getting into industries.

IEEE 2023 / 2022 ai based iot projects are designed using raspberry pi and deep neural networks.
IEEE 2023 / 2022 ml based iot projects are developed using arduino / raspberry pi and machine learning algorithms.

IoT-AI projects:

AIOT (Artificial Intelligence of Things) projects combine the power of AI (Artificial Intelligence) and IoT (Internet of Things) technologies

To create intelligent devices that can learn and adapt to user behavior and environmental changes. These projects aim to enhance the capabilities of IoT devices by adding advanced data analysis and decision-making capabilities using AI algorithms.

Some examples of AIOT projects or AI-iot projects include:

  • Smart agriculture systems that use IoT sensors to collect data on soil moisture, temperature, and other environmental factors and use AI algorithms to optimize crop yield and reduce water consumption.
  • Smart home systems that use IoT devices to monitor energy consumption and use AI algorithms to optimize energy usage and reduce costs.
  • Intelligent transportation systems that use IoT sensors and AI algorithms to predict traffic patterns and optimize traffic flow.
  • Smart healthcare systems that use IoT sensors to monitor patient health data and use AI algorithms to detect anomalies and provide real-time alerts to healthcare professionals.

Smart cities that use IoT sensors and AI algorithms to manage waste, reduce energy consumption, and improve the overall quality of life for residents.
To develop AIOT projects, developers need to have a strong understanding of both AI and IoT technologies, as well as programming languages such as Python, C++, and Java. They also need to have access to hardware components such as microcontrollers, sensors, and actuators, as well as software platforms such as Microsoft Azure IoT and AWS IoT. Overall, AIOT or ai and iot based projects offer great potential for innovation and have the potential to transform many industries.

Below is the list of IEEE-based research projects using IOT, AI,ML, and Deep learning concepts, contact us for more details


Top 10 latest AI IoT based with Machine learning projects in 2023:,

  • AI-IOT Smart Traffic Management System: This project involves using AI algorithms to optimize traffic flow in cities by analyzing real-time data from IoT devices such as cameras and sensors.

  • AI-IOT based Smart Energy Management System: This project uses AI to improve energy consumption in buildings by analyzing data from smart meters and other IoT devices.

  • Smart Healthcare Monitoring: This project involves using AI algorithms to monitor patient health using wearable IoT devices and make real-time recommendations to healthcare providers.

  • AI-IOT-based Smart Home Automation: This project uses AI to automate and optimize various tasks in the home such as lighting, temperature control, and security.

  • Smart Waste Management System: This project involves using AI algorithms to optimize waste collection and disposal by analyzing data from IoT sensors in trash cans and recycling bins.

  • Smart Agriculture: This project uses AI to optimize crop growth and resource utilization by analyzing data from IoT sensors in the field.

  • Industrial Predictive Maintenance: This project involves using AI algorithms to predict and prevent equipment failures in industrial settings by analyzing data from IoT sensors.

  • Smart Water Management System: This project involves using AI algorithms to optimize water usage in cities by analyzing data from IoT sensors in water meters and pipes.

  • Autonomous Vehicles: This project involves using AI algorithms to enable self-driving cars and other autonomous vehicles by analyzing data from IoT sensors and cameras.

  • Smart City Management: This project uses AI to optimize city infrastructure such as streetlights, traffic signals, and parking systems by analyzing real-time data from IoT devices.


 Prepared By 

      R.Anish (23UCA004)

      II BCA


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