A robust and efficient computer vision solution for projects is available, offering a real-time hand and face gesture recognition system developed with Python, OpenCV, MediaPipe, and TensorFlow. This system is designed for optimal accuracy, speed, and professional performance, making it ideal for AI research, interactive applications, automation, and sophisticated user interfaces.

The system recognizes various hand gestures, including thumbs up, fist, peace sign, pointing, and open palm, alongside face expressions such as smile, frown, neutral, wink, and mouth open. It also features intelligent integration of hand and face gestures for complex interpretation.

Deliverables include:

• Optimized Python code
• Real-time gesture recognition (achieving 1525+ frames per second)
• Options for customizing gestures and models
• Comprehensive documentation and setup instructions
• High recognition accuracy with confidence scores
• A system ready for integration into existing projects

Whether a prototype, research instrument, or a production-grade solution is required, a system customized to specific needs will be provided.