This project is based on the reinforcement learning which is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. In this we used Q learning algorithm which helps agent to reach the distination room from the current room.
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run git clone
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go to root directry
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run in python compiler or IDE
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now run the app.py file
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after running the appy.py file you need to click on the localhost link generated which will redirect you to the default browser.
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once you click on the link a webpage would open like this
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now enter the room number of your choice and click the predict button
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now the result is displayed based on user input
