An intelligent piece of software which is capable of communicating and gives voice instructions is known as Chatbox. Making a Chatbox is not easy at all as it works on various machine learning concepts. Nowadays, Chatbox has become one of the important parts of machines as it enables a user to communicate directly to the machine. Interaction with the machine consists of voice instructions that the machine can understand. There are basically two types of Chatbox: -
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As we know, the machine cannot understand the human language but it can compare the words with its dataset to give the output result. The system reads the predefined values and patterns to give the output; this system is known as retrieval-based Chatbox. The Chatbox which is based on deep neural network which facilitate the system to learn the words itself and keep increasing its dataset is known as Generative based Chatbox.
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Project Implementation – Chat box
We will use python language to build this project. The Chatbox will be trained using a special recurrent neural network (LSTM) to identify between user’s messages and then respond accordingly. We will be creating a retrieval based Chatbox using NLTX, Keras, Python, etc. The file which contains the data is the intents.json file which will be included in the project. The data files can easily be downloaded from the internet.
The application will use a GUI window to communicate with you for example.
User: - Hello, how are you?
Bot: - I am fine, how can I help.
This is how the conversation will go on. The project is easily implemented using proper files and datasets.
Conclusion
In this java project, the developer should possess a good knowledge over the python programming language. The developer also should know about deep learning concepts and data analytics. The project is highly usable and it has a good market scope as Chatbox are used everywhere. The project should be made with accuracy in order to make the Chatbox intelligent. The bot is implemented in the workflow and this project is a good practice for understanding of python and data manipulation.
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