Chatbot Building: DialogFlow & Wit.AI Chatbots with Node.JS
What you'll learn
- Understanding concepts of building chatbots with DialogFlaw & Wit•ai
- Building chatbots for Facebook Messenger
- Natural Language Processing with DialogFlow
- Deploying your chatbot in Heroku application platform
- Its necessary to have basic programming knowledge on Node JS
Do you want to create a talking chatbot that interact with your visitors? In this tutorial, you will learn how to create a Facebook chatbot with Node.JS using DialogFlow and Wit.AI platforms. Both DialogFlow and Wit.AI provide several Natural Language Processing functions that parse user input and match them to the right response. Implementing NLP in your bot can be pretty difficult, but there are several platforms that make it much easier to create a Facebook Messenger bot.
DialogFlow (formerly Api.AI, Speaktoit) is a Google developer of human–computer interaction technologies based on natural language conversations. Dialogflow is backed by Google and runs on Google Cloud Platform.
In this DialogFlow Node.JS tutorial, you will learn how to build a Facebook Messenger chatbot that incorporates NLP with Dialogflow and deploy it to Facebook.
Wit.AI makes it easy for developers to build chatbot applications and devices that you can talk or text to. Wit.AI is a natural language processing (NLP) tool that helps developers get structured data from chat or voice. Wit.AI makes it easy to build NLP into your chat bot, that learns from every interaction. If you want to build a Facebook bot even if you have not before, Wit.AI would be a great option.
In this Wit.AI Node.JS tutorial, you will learn how to train a chatbot using wit.AI by creating intents and entities for your chatbot data to build a Facebook Messenger chatbot.
This chatbot course will help you:
Use DialogFlow to build a chatbot.
Use Wit.AI to build a chatbot.
Understand intents and entities.
Build a Facebook Messenger bot.
Deploy chatbot apps to cloud platforms such as Heroku.
Keywords: google apis client, google api client, google apis, google api, google, google cloud platform, google cloud, cloud, google dialogflow, dialogflow chatbot, Dialogflow API, chatobots
Who this course is for:
- Software Node JS developers looking to build chatbots for their websites and mobile apps
- Developers of Facebook looking to build Massenger chatbots
- Development professionals and students looking to learn how to use DialogFlow and Wit-AI to build chatbots.
GoTrained is an e-learning academy aiming at creating useful content in different languages and it concentrates on technology and management.
We adopt a special approach for selecting content we provide; we mainly focus on skills that are frequently requested by clients and jobs while there are only few videos that cover them. We also try to build video series to cover not only the basics, but also the advanced areas.
AI Enthusiast and a Software Developer with over 6+ years of development experience using multiple open source technologies. Presently, I'm freelancing Computer Vision and Chatbot Development projects.
I started my Freelance career back in 2011, have been doing multiple projects of multiple types. Since, I have a Bachelors Degree in Marine Engineering, I used to do Freelance CAD/CAM projects initially. I have always been a good self learner and still learn different things out of curiosity. When I learned enough web development, I started doing Web Development projects and used to provide Wordpress Development and SEO services back in 2012 - 2016. Then these very interesting fields of Data Science, Machine Learning and Big Data really inspired me and I started learning things about them on difference platforms like Coursera, Udemy and Udacity. I have around 30+ certificates of courses and specializations from Coursera and still doing some courses along with my freelance work. I have done a Full Stack Web Development specialization from Hong Kong University of Science and Technology and a few other courses from John Hopkins, University of California San Diego; in Big Data, Rails Development, Data Science with R and etc.
Presently I have been involved in following projects:
1) Detect area of water present inside an image of field/pond/site with Deep Learning and Computer Vision Techniques
2) Detect number of people and machinery available in a field/site with Deep Learning
3) Fashion apparel detection with Deep Learning
4) Developing an application to bulk upload training examples for a Dialogflow intent
5) Conversational application development with Python using Rasa
I do all the projects myself, so I do each and every task myself within any kind of development, i.e. from selecting the suitable model to training the model, preparing training data, serving the application with Flask, Serverless or anything, developing UI with Vue or React and etc.