A chatbot is a computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person. Chatbots can be as simple as any programs that answer a simple query with a single-line response, or in detail as digital assistants that learn and evolve to deliver increasing levels of personalization as they gather and process information.

You’ve probably interacted with a chatbot whether you know it or not. For example, you’re at your computer researching a product, and a window pops up on your screen asking if you need help, Or you might have used voice commands to order a coffee from your neighborhood cafe and received a response telling you when your order will be ready and what it will cost.

Driven by Artificial Intelligence (AI), automated rules, natural-language processing (NLP), and machine learning (ML), chatbots process data to deliver responses to requests of all kinds. There are two main types of chatbots.

These are single-purpose programs that focus on performing one function. Using rules, NLP, and very little ML, they generate automated but conversational responses to user inquiries. Interactions with these chatbots are highly specific and structured and are most applicable to support and services like interactive FAQs (Frequently Asked Questions).

These are often referred to as virtual assistants or digital assistants, and they are much more sophisticated, interactive, and personalized than task-oriented chatbots. These chatbots are contextually aware and leverage natural-language understanding (NLU), NLP, and ML to learn as they go. Apple’s Siri and Amazon’s Alexa are examples of consumer-oriented, data-driven, predictive chatbots.

There are many different ways a chatbot can positively impact customer communication and drive business growth.

1. Increase Customer Engagement
2. Improve Lead Generation
3. Reduce Customer Service Costs
4. Monitor Consumer Data to Gain Insights
5. Revise a Conversational Marketing Strategy
6. Meet Customer Expectations
7. Achieve Scalability of Support
8. Streamline Your Customer Onboarding Process
9. Make the Customer Journey Smoother

1. Download the Source code in zip format.
2. Extract the files at your desired location.
3. Open Run window using 'ctrl+R' command.
4. Type ''cmd'' and hit enter.
5. Type ''cd PASTE_THE_FILE_LOCATION'' where your downloaded files are extracted and hit enter, to enter into the desired directory.
6. Then type ''pip install -r requirements.txt'' command to install the required libraries and frameworks.
7. Type ''python train_chatbot.py'' to train the chatbot.
8. It will take a while for training.
9. Now type 'python chatgui.py' to test the chatbot.

If you want you can change the json file with your desired question and answers, train the model again and use it.