Build a smart AI gesture recognition system using transfer learning and deep learning models to classify hand gestures with high accuracy and minimal training data. This project demonstrates how pre-trained CNN models can be fine-tuned for real-time gesture classification, making it ideal for applications like human–computer interaction, robotics, AR/VR, smart automation, and contactless control systems.