Just about 3 years ago, multiple applications which were primarily backed by conventional machine learning…
This blog is an introduction to our experiments with Python Pillow to create images with text on them.
In this blog, we talk about the capabilities of our Analytics Dashboard for analysis of data generated by our chatbots on daily basis.
This post talks about how we use machine learning and text-to-speech (TTS) to set reminders for users and how Amazon Polly helps us with that.
This blog talks about Haptik’s Frontend development journey for various customer facing web tools and how React JS helped shape it close to perfection.
At Haptik, we have a feature where a user can set a reminder for their daily tasks and we call them to remind them about it. In this blog, we tell you how we have implemented such complex flows using finite state machines.
Today, we are open-sourcing a part of our proprietary technology powering Haptik’s apps – Chatbot NER. Chatbot developers across the globe can use Chatbot NER straight-out-of-the-box to build intelligence into their chatbots.
On 17th June, we hosted an meet-up of Data-Scientists in collaboration with DataGiri in Mumbai to demonstrate and give a hands-on experience of one of the machine learning modules underlying Haptik’s chatbots – ChatBot NER.