IoT Based Secured Classroom Automation System Using NLP

Computer Engineering

The primary aim to implement a low cost and secure Android based class- room Automation System using Natural Language Processing (NLP),Wireless Fidelity (Wi-Fi) and wireless sensor.The system is voice based as well as sen- sor based we use voice to ON/OFF appliances(light,fan,door) of classroom and sensor for detecting the condition of other appliances(water tank level,smoke detection) and send the alert message to the user.The system will be secure as it is only accessible to authorized user.After authentication user sends a voice command to the mobile device,which interprets the message and sends that proper command to the specific appliances.The mobile device acts as a central console as it determines what operation must be completed by which appliance to fulfill the users request.The Raspberry pi is interfaced with the appliances connected to the relay board and programmed in a manner that they respond to mobile inputs.The system is useful to reduce extra power consumption and for emergency conditions.

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