In this paper we propose a concept to implement a smart classroom where lights and fans are turned on/off automatically based on sensors, which detect light intensity and temperature. As an aid for the students to understand the teacher much better we make use of speech to text conversion technology to display on the screen what the teacher is saying in real time. We use Python Speech recognition to achieve the voice to text conversion with utmost accuracy. When the teacher is talking the processor takes the voice and converts it to text.

Keywords : Speech-to-Text; Sensors; Automation; Python Speech recognition; Arduino.