I need advice and guidance on building the chatbot feature for my product. I want to know about available frameworks/technology available and fastest go-to-market strategy.
What platform are you targeting? Slack? Telegram? Chat for a website?
There's quite a few open source packages for different services like Slack on github which abstract away some of the boilerplate work. However there's still a fair amount of developer time involved to make those tools accomplish something meaningful.
Thanks for your feedback. One can say, its a chatbot for website. HiringPlus is a recruiting platform. I am working on a new feature which will let the users publish their job openings on different job boards. I am thinking about having a chatbot every job they publish. It will definitely help them find more applicants.
I can start by implementing it for just one job description and iteratively build on top of that.
Tech stack is pretty simple: Angular, Rest in Java, Python for machine learning.
One more chatbot developer here. Working on bot for Slack using Python & Django stack. Weird stack for chatbot development, I know. It could be overkill for simple Slack bot but (WOW) it plays awesome. There are 2 reasons:
Tell more about what you what you want to build. It will be much easier to suggest smth specific :)
I am copying my reply from one of the above comment.
HiringPlus is a recruiting platform. I am working on a new feature which will let the users publish their job openings on different job boards. I am thinking about having a chatbot every job they publish. It will definitely help them find more applicants.
I can start by implementing it for just one job description and iteratively build on top of that.
Tech stack is pretty simple: Angular, Rest in Java, Python for machine learning.
What do you think?
For me sounds reasonable to build bot as one more feature of existing backend. Means using Java library for any platform you choose: Messenger, TG, WhatsApp, whatever....
I worked with Messenger bot before, it is really cool to use and quick to deploy!