Automation using Artificial intelligence based Natural Language processing

In this proposed work, necessary design and optimized parameters are transmitted for the essential information exchange. This research study focuses on integrating WSN architecture. In actuality, many automated systems still require extensive human engagement; for example, a patient may need to visit multiple pharmacies in order to locate a specific sort of drug. A smart inventory system integrating Wireless Sensor Networks (WSN), Quick Response Codes (QR), and cloud services (Web) would solve numerous difficulties while also saving money for both patients and stakeholders. With all these chores, a speedier and more reliable system is required to manage operational and repeatable processes. Recent advancements in the field of portable devices have been substantial, particularly in the area of audio/music information delivery systems such as headphones that link to mobile/portable devices via wired or wireless communication. Usage of headphones connected with mobile devices by all age group people is getting higher practically every day, for doing multiple businesses like navigation, automation, bill payment, contest participation, news and events social media. This paper suggests the usage of four typical home appliances: a fan, a light, a coffee machine, and door alarms, using a single remote. Natural Language processing is used by the mobile device to interpret the user's voice command. To communicate with the Wi-Fi signals provided by these appliances, the project uses a smartphone application. The application gives commands to the Arduino devices and also responds to their responses. While a command is delivered from a remote location. As a result, the integrity and confidentiality of conveyed data, as well as the authentication of the services that provide that data are critical. As a result, security is a vital IoT feature. As a result, it includes a username and password-based authentication mechanism in the mobile application. To assist computers in understanding and responding to commands delivered in natural (human) language. NLP falls under the umbrella of human-computer interaction.