Human assistant robots are becoming increasingly important in domestic and workplace environments due to their ability to automate routine tasks and improve human–robot interaction. This paper presents JARVIS, a multifunctional human assistant robot capable of performing voice interaction, hand gesture control, human tracking, object detection, remote operation, obstacle avoidance, and autonomous docking. The system is developed using Raspberry Pi, ESP32, ROS2, OpenCV, MediaPipe, and an offline voice recognition module. Hand ges-tures are recognized using MediaPipe-based landmark detection, while computer vision techniques enable face tracking and object detection. Voice commands allow users to switch between differ-ent operational modes and control robot functions intuitively. The robot employs mecanum wheels for omnidirectional movement and integrates ultrasonic and infrared sensors for navigation and docking. A distributed architecture is adopted in which Raspberry Pi performs high-level processing and ESP32 manages real-time motor control. Experimental results demonstrate suc-cessful implementation of all features with reliable performance under indoor conditions. The proposed system provides a low-cost, scalable, and modular solution for smart assistant and automation applications.