![]() That’s why we decided to write this article – not intending to repeat any courses or tutorials, but willing to share our experience and learnings to help others get started in chatbot development easier. In our development process, we were learning a lot every day and had a lot of “I wish I’d known this before!” moments. The abundance of information makes it hard to find a good starting point, and many technical details and features are tricky to master and can be confusing for a beginner. However, even with all available resources, it turned out not to be so easy to get started with building a chatbot. We were eager to apply in practice what we had learnt. We were aware of tools such as Dialogflow or Rasa and had previously followed some courses or tutorials on chatbot development. We have all heard about chatbots and all were interested in developing one ourselves. To that end, the chatbot should be able to understand the driver’s commands regarding navigation, music, calls, etc, and respond to them adequately. That’s exactly what we set out to do in a recent AI challenge organized by Omdena and Consenz: build a chatbot to be the core of Enzo – a hands-free driving assistant, whose main goal is reducing the number of traffic accidents. ![]() Chatbot development is an exciting and fast-growing domain of ML, with a lot of open- or closed-source tools, courses, and tutorials available to help you build your own chatbot. Why are chatbots important? They step in when there’s not enough human assistants to handle all the requests, thus making the assistance available for a large number of users.Ĭhatbots use technology such as Natural Language Understanding (NLU) and Machine Learning (ML) to understand users’ requests, produce adequate responses, and perform correct actions. ![]() Chatbots are there to help us with many tasks, such as setting up alarms, scheduling meetings, or finding an answer to our question on a company website. ![]()
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