In my previous posts, I have talked about how to build your own Google NLP API. You are a smart developer and you got a great idea 💡. You build an amazing API with useful functions. The only thing you are missing is a validated business case. I think the eaiset way to prove the use case is to put it in the market and see whether or not people are willing to pay for it.

In my previous posts, I have talked about building a small backend server to handle HTTP POST request. We also have tried out the Google NLP and we dived into the topic of NLTK. Well, now we know how to create a Go function to handle HTTP request and we understand the idea of Natural language Processing. Why not building your own Google NLP API? Let’s now look at the key functions // Now we need to create a function to parse and tag all the data // There is a pre-built lib you can use - "gopkg.

So you want a personal chatbot to handle your messages. Let’s build a easy twilio bot to handle and filter your incoming messages and calls - your personal virtual assistant 📟. Let’s start with a simple user case. I want to have a 📟 to recieve the SMS messages and send me a summary about who are contacting me, what messages have them sent and what are their contact numbers.