ananya-bangera / BOTtleneck

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BOTtleneck

BOTtleneck
BOTtleneck

BOTtleneck - An Ulimate Chatbot adaptable to all the platforms
Hack-E-Health || Team Runtime Terror

Table of Contents

📰Description

Everyone knows that conversational Chatbots have revolutionised customer service. Growth has been so spectacular that in 2021, organizations had up to 70% fewer calls, chats and emails after automating customer service. Chatbot eases our tasks by providing assistance and automating most of the features. BOTtleneck is a platform which provides ample of chatbots serving various purposes. It's a cluster of powerful chatbots assisting multiple sectors. The Conversational Chatbots can help you get to know your customers even more. They let you figure out what their questions and needs are, plus the products or services they're interested in, and help you make strategic decisions to improve the user experience.

🔗Resources

🤖Tech-Stack

Express NodeJS HTML5 CSS3 JavaScript Flutter Dart Firebase SQLite

📈Progress

For Mobile Application:

  • Introduction Screens
  • Authentication
  • Chatbot Feature

First, the user needs to authenticate himself to the system via his/her email. Then he would be taken to the chatbot feature tab. Here the mobile application is an implementation of a hospital chatbot. This chatbot assists the user to diagnose the disease. Now the users are being asked about the symptoms of a specific disease. The user response in each case is being stored. After finishing the set of questions, the chatbot would try to find the matching symptoms with the available diseases in the database and communicate the same to the user. Then finally the user will be asked to enter a preferable time. The bot would provide the names and availability of the physicians according to the user's suitable time period.

For Website:

  • Landing Page
  • Authentication
  • Chatbot Feature
    Here, after finishing with the authentication. The user can have an interaction with the chatbot. Here the chatbot helps the user by filtering the restauarnt menu, according to the taste, dish name, type, place, price and ratings. After filtering the data its displayed by the bot as the output. The user queries are being processed and then further the output to these queries are displayed.

🔮Future Scope

  • Developing Chatbots for various sectors like Universities, Market
  • Multilingual Platform

🛠Project Setup

Clone the GitHub repo git clone https://github.com/ananya-bangera/BOTtleneck

💻Usage

Once the required setup and installation is completed, you can start developing and running the project.

Go into the root directory of the project and start the run.py file

python3 run.py

👩‍💻Contributors

Team DCodeStarBots

  1. Sarvagnya Purohit
  2. Ananya Bangera
  3. Harsh Nag
  4. Vaibhav Patel

📱Screenshots


Introduction Screen 1 Introduction Screen 2 Introduction Screen 3




Register Login




Chatting Page 1 Chatting Page 2





Home Page 1 Home Page 2 Home Page 3





Register Login





Chatting


About


Languages

Language:Makefile 81.0%Language:EJS 6.9%Language:Dart 6.6%Language:JavaScript 3.6%Language:CSS 1.2%Language:Java 0.3%Language:Python 0.3%Language:Swift 0.1%Language:Kotlin 0.0%Language:Objective-C 0.0%