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 behaviour 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.

• AI-IOT Smart Traffic Management System: This project involves using AI algorithms to optimize traffic flow in cities by analysing 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 analysing 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 analysing data from IoT sensors in trash cans and recycling bins.
• Smart Agriculture: This project uses AI to optimize crop growth and resource utilization by analysing 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 analysing data from IoT sensors.
• Smart Water Management System: This project involves using AI algorithms to optimize water usage in cities by analysing 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 analysing 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 analysing real-time data from IoT devices.