Published Paper Details:

Laboratory environments require strict safety and efficient information access systems to prevent accidents and improve productivity. One of the major risks in laboratories is undetected gas leakage, which can lead to severe health hazards and potential explosions. Additionally, the unavailability of quick access to essential laboratory information often causes delays and errors during experiments. To address these issues, this research presents a Smart Laboratory Safety and Information System integrating gas leak detection and AI-based information retrieval. The system employs a gas sensor to detect harmful gases in real time and uses Blynk Cloud to send instant alerts to mobile devices, ensuring immediate response and safety. For efficient information management, an AI chatbot powered by the OpenAI API is implemented using Python, enabling lab personnel to instantly retrieve data such as equipment details, safety protocols, and experiment procedures. This dual approach enhances both safety and operational efficiency within laboratory settings. The proposed system demonstrates how the integration of IoT and AI technologies can create a smarter, safer, and more responsive laboratory environment.