This research paper describes the successful implementation and result of the automation of The NorthCap University’s Tinkering Lab. The automation system was designed to ease numerous aspects of lab management, including lights and fans control, component detection, security via a lock system, lab utilization monitoring, and real-time environmental monitoring using the Internet of Things (IoT). The architecture of the automation system includes multiple components that work together. An Android app that acts as the user interface, allowing users to input data via buttons or voice commands. This data is then sent to an ESP32, which processes it. If the data is unrelated to the functioning of ESP32, it acts as an MQTT publisher and publishes it. The Raspberry Pi serves as an MQTT broker, which serves as a central hub for handling communication between different devices. Other ESP8266s function as MQTT subscribers, receiving the data and giving the desired output. This automation system brings forth some new elements. To begin with, the incorporation of a component detector is an advancement in the field of automation. It enables real-time identification and management of lab equipment, which is a breakthrough. Additionally, the integration of music playback functionality to create a positive environment for users, in the lab. Lastly, the lab utilization feature offers insights by monitoring attendance and usage patterns. This enables data-driven decision-making and optimization of resources. The automation has enhanced faculty productivity while also enhancing the overall management of the lab. The paper describes the design and deployment of the automation system and emphasizes its positive impact on everyday operations and the user experience.