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09 August, 2018

MEETING CHATBOT

Introduction

This chatbot enables the user to schedule a meeting with his/her associate with provided feature of syncing the schedules meeting along with venue, timing and other details with google calander on one click.

This project is used to create interactive environment with the users via chatting And provide suggestion by analyzing questions also produces predicted next questions. In this we are using Google Dialog Flow Engine framework.

For backend we are using Python Flask framework. We have deployed it on google cloud.

schedular-chatbot-landing-image

FEATURES

Autonomous Reasoning

The chatbot can perform complex reasoning without human intervention. For example, a great Service chatbot should be able to infer solutions based on relevant case histories.

Conversational Maturity

Beyond understanding and interacting conversationally, a great chatbot has specific natural language processing (NLP) capabilities to understand the context of a conversation in multiple languages.

Pre-Trained

it’s pre-configured to resolve common customer requests of a particular industry. Even better, it’s pre-configured to resolve common customer requests of a particular industry.

CHALLENGES FACED :

1. Users way of texting.

Different people have their own way of typing a message (short sentences, long sentences, really long sentence in a chat bubble, multiple very short sentences in multiple chat bubble…) So how to understand the user intention.

2. User language.

When it is about talking to a human, it is about talking to individual who is totally unique. Her way of command over language, usage of slang, love of certain words, habit of misspelling certain words, using short forms, using cool words that origin daily, and a list can go on. When you want a chatbot to be talking like a human in a same manner, we have to deal with all of these as well.

3. Limited attention span.

User attention span is limited and often users are very distracted, so it is not only that we understand them. Here is where conversational UI is at play. It is more about how can we hook them.

SOLUTIONS :

  • Chatbots don’t need to sleep. They can immediately tackle issues no matter if it’s 4 am or 9 pm. blockchain potential
  • AI chatbots make fewer errors while answering customer inquiries than human agents do. Why? Because their cognitive technology interprets customers’ responses and provides accurate, automated answers. implementation.
  • Chatbots can strike up a conversation with any customer about any issue at any time of day.
  • Chatbots can perform a range of simple transactions. Telegram bots let users transfer money, buy train tickets, book hotel rooms, and more.
  • AI bots can begin the conversation and inform customers about sales and promotions. Moreover, virtual assistants can offer product pages, images, blog entries, and video tutorials.
  • Chatbots are especially effective where you can predict questions and script answers.

Uses


This bot is an assistant that communicates with us through text messages, a virtual companion that integrates into websites, applications or instant messengers and helps entrepreneurs to get closer to customers. Such a bot is an automated system of communication with users.