AI Robot With Gender Recognition Using Voice

The AI Robot with Gender Recognition Using Voice is an advanced embedded vision and audio processing system built around a Raspberry Pi 4 Model B. At the core of the audio subsystem is the AIY Voice Bonnet, which interfaces with a dedicated microphone to capture ambient sound and speech. Audio signals are digitized and processed using Python libraries like pyaudio and speechrecognition, while specialized modules analyze vocal frequency and tone patterns to determine characteristics such as gender. Simultaneously, visual data is captured using a camera mounted on the robot chassis and processed via OpenCV and Dlib for facial detection. Deep learning frameworks including TensorFlow and Keras execute pre-trained neural network models to correlate the visual and audio inputs. Once the system classifies the user's attributes, it can generate synthesized vocal feedback using espeak through an attached speaker, allowing the robot to interact dynamically with its environment. The Raspberry Pi 4 coordinates all these concurrent computational tasks, managing data flow between audio acquisition, machine learning inference, and hardware actuation on the robot chassis.