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Here is what I learned from my first Create Week at Skcript

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Here is what I learned from my first Create Week at Skcript

Hackathons provide opportunities to gain hands-on experience in new technology stacks or languages. Typically, Hackathon gives me an excellent understanding of things rather than just running behind new technologies without deep learning.

Hackathons provide opportunities to gain hands-on experience in new technology stacks or languages. Typically, Hackathon gives me an excellent understanding of things rather than just running behind new technologies without deep learning.

As a non-tech person, these wise hackathon opportunities help me to take a broad look at my interests and to get to know the big tech world.

Preparation

Once, I got a chance to go through a chatbot article, which inspired me to develop a chatbot independently. In the earlier stage, I used to play with chatbot sometimes by asking questions to it and getting replies as an answer. It’s quite impressive!

I planned to create my own Nirvagi Chatbot by utilizing this hackathon chance. “Nivargi chatbot” basically should cut my work in half. Previously, I searched around my drive folders for a long time to take specific employee’s documents. So, I decided to use this opportunity to build something that solves this problem. And make my work done in a short period.

Developing my chatbot

Do you think a 6 mins guidance video can help you to create one chatbot? Yeah, that’s true. Let’s see how I brought it live.

Dialog Flow is the primary tool where I started to develop my chatbot. Here the following steps for creating your chatbot:

  • Create Agent - You should give the name of your chatbot here.

  • Create Entities - Here, you can give your input content. For the admin bot, I created an employee list and their documents list.

Intents

  • Training phrases - Here, you can give training to your bot. Training would be a keyword to get output from the chatbot.

  • Prompts for “Employee list” - Here, you can create a question for the user. Name of the employee? Which documents do you want? etc.,

  • Text response is the final message from the bot. ‘Your Documents are ready!’

Watching my idea becomes a reality:

I started with lots of hesitation, like, will it work? But it paid for my efforts. Now, I am using my “Nirvagi bot” to collect the employee’s data, an excellent game-changer for my work.

Creating a chatbot is not a big thing that you can’t do; all you need is just an interest and guidance to do it.

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