I started working on Chatbot series and it has been eye-opening. One thing I didn't expect in this project was the significant amount of time required for training the bot to recognize and respond to various user intents effectively. Initially, I anticipated that setting up Amazon Lex would be straightforward, but I quickly realized that users express their inquiries in many different ways, which added complexity to the intent recognition process.

In this Project:

👉I configured multiple slots with a shared slot type. I set up two different slots, sourceAccountType and targetAccountType, that both utilize the same underlying accountType slot. This streamlines data handling in my bot.

👉I implemented a confirmation prompt that repeats the transaction details back to the user for verification.

👉I used the conversation flow and visual builder features that I got familiar with and will henceforth, be used to create a Lex chatbot!

👉I used AWS CloudFormation to automate the deployment of my banking bot. This not only saved time but also made sure all resources were correctly configured and linked!

Here is a link to the Project: https://drive.google.com/file/d/1lgXe907z7CjPxCnDk821yw3Iu8UX2swJ/view?usp=sharing