Intercom VS ML5.js
Compare Intercom VS ML5.js and see what are their differences
Create in-app experiences with the most straightforward product adoption platform — quick implementation, lasting
user engagement.
featured
Intercom
Zendesk
Freshdesk
Drift
LiveChat
LiveAgent
tawk.to
Crisp Chat
ML5.js
Amazon Machine Learning
Machine Learning Playground
Apple Machine Learning Journal
Lobe
Best of Machine Learning
Evidently AI
Pretrained AI
IntercomIntercom is recommended for businesses of all sizes that wish to enhance their customer service and communication strategies. It is particularly beneficial for companies that want to offer personalized customer interactions through messaging, automate customer support processes, and gain insights from customer interactions. It's suitable for SaaS businesses, e-commerce platforms, and tech startups that prioritize customer experience.
ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.
Intercom provides a lot of value to us. From live chat to email marketing and even helping us to create support documentation, Intercom handles a lot of key moving parts that are essential to keeping customers happy.
ML5.js might be a bit more popular than Intercom. We know about 10 links to it since March 2021 and only 7 links to Intercom. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Intercom: Famous for its conversational marketing focus, Intercom’s live chat widget offers features like proactive messaging and lead qualification. It also supports deep personalization for enhanced customer engagement. - Source: dev.to / 7 months ago
Use chatbots to automate customer service: Chatbots use natural language processing to communicate with customers and answer their questions. By integrating chatbots into your affiliate marketing strategy, you can automate customer service and increase engagement with potential customers. This can lead to more sales and higher commissions. (Crisp, Intercom). Source: over 2 years ago
I am trying to create an application that will work on a customer's website. Much like tawk.to or intercom.com. Source: about 3 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 3 years ago
I wanted to know the best practices of developing a widget. So I went through the popular implementations of it. I liked Intercom's widget very much. It is written in React. I analyzed how it works. The minimal javascript is loaded async on the webpage. It is injecting an iframe with id intercom-frame. That iframe has a script in it's head with a source URl. Obviously it is React bundle. Source: about 3 years ago
Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.. - Source: dev.to / about 2 months ago
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 2 years ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 3 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: over 3 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 3 years ago
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Drift - A messaging app that helps you grow your business.
Apple Machine Learning Journal - A blog written by Apple engineers