IoT and AI-Based Smart Gesture Control System

This project develops an intelligent system for gesture-based control using a gesture and touch sensor. The system captures user gestures to operate various devices seamlessly, integrating with IoT platforms for real-time communication and control.

AI algorithms process gesture data to improve recognition accuracy, adapt to individual user patterns, and predict commonly used gestures for enhanced convenience. The system can be applied to home automation, robotics, and assistive technologies, providing intuitive and contactless control. A mobile app complements the system with features like device status monitoring, customization of gestures, and instant updates.

Key Features:

• Real-time gesture recognition and device control using IoT integration.
• AI-powered adaptability for personalized gesture patterns.
• Cloud connectivity for centralized management and updates.
• Mobile app for gesture customization and real-time monitoring.

This project includes source code, complete hardware setup, detailed analysis, and a comprehensive 200-page project report in soft copy. It’s an excellent choice for students seeking to innovate in IoT and AI-driven human-machine interaction.