The use of clicker sin lectures is very troublesome for the professor.

We automatically analyze the speech, detect the keyword, find the relevant slide, and change the slide accordingly, Any slide number can be shown by just on keyword. 'Next' and 'Back' keywords take the slides forward and backword respectively.

We used the Google Speech Recognition API to get the text from the speech and then compare it with the keyword list and then pull up the image.

Running the program in a practical period of time. Analyzing every word of a speech and then fetching the image took a lot of time, but we managed to optimize it to a practical time frame.

It runs without any bugs :)

Speech Recognition. Algorithm optimization. How to improve the speed of the program.

Multi platform - Android, iOS etc. Wireless microphone Even faster algorithm. Proof checking of images before displaying.

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