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An IVR Chatbot which can exponentially reduce the burden of companies as well as can improve the consumer/end user experience.

Home Page: https://aryamaan23.github.io/IVR-chatbot/

License: MIT License

Python 44.87% Jupyter Notebook 4.49% HTML 1.88% JavaScript 7.75% CSS 1.28% Kotlin 39.73%
python rasa geopy fastapi sql twilio gtts google-calendar-api playsound prettytable

ivr-chatbot's Introduction

IVR-Chatbot

AchievementsπŸ†

Team Uhtred won the Maverick 2.0 Bot-a-thon 2021 organized by AbInbev India.

❓ Problem Statement

As we all know that, lot of tedious/complex tasks are going on in companies and organizations such as procurement, finance and accounting, human resources, supply chain management and IT. These processes require huge amount manpower and effort, so we thought to devise a solution which can proactively interact with the customers and vendors 24/7 and solve their problems with minimal efforts on the company's side.

πŸ’‘ Solution

IVR chatbots can be a boon for the companies to manage their work processes easily and smoothly so we developed it. Companies can use it to improve their customer's experience, to generate more sales and build a deeper rapport with customers. They allow your customers to easily interact with your brand through stimulated conversations. It is capable of providing 24h service to their customers. For a good customer experience it provides instant and accurate results to the questions asked by users.

✨ Presentation

ppt

🎯 Features

Consumers

  • Track Payment Status by orderID
  • Added Authorization security via OTP
  • Explore career opportunities and screening of candidate seeking for a job at ABInBev
  • Report any issue related to website, quality of product, staff / agent behaviour or feedback
  • Schedule Appointment/Call regarding any queries like order, quality of product, delivery, payment issues etc.
  • mail-list signups with the willingness of user inorder to increase the customer engagements
  • Recommending Products and services via querying name, price, alcohol content etc
  • Get Latest ongoing offers on products
  • Responsive Interactive Answers to Frequently asked questions (FAQ) and contact details of department based on the type of query
  • Order a product using chatbot and get e-receipt (Procurement)
  • Know the location of your package (delivery details)

Vendors

  • Increment Collaboration with suppliers and hence increase profits
  • Grab the recent orders by entering the date or month
  • Resetting of database session for each user after some interval of time
  • Get location of any product in warehouse
  • Supplier onboarding
  • Get complete information about any beer with image available at ABInbev

Integrations

  • Multilingual Voice support using speech to text and text to speech API's
  • Multi Chat Channel like sms, chat (Telegram, Whatsapp, Slack, Facebook Messenger, Alexa, Aimybox) and email (non IVR Examples)

πŸ€– How we built it

Flow

πŸ™ˆ Mockups

Text to Speech and Speech to Text

Web Chat

Multilingual Support

Web Multiligual

Whatsapp

whatsapp

Telegram

telegram

Slack

slack

Alexa

alexa

πŸ‘£ steps to run the project

Run rasa and rasa action server

cd app
pip install requirements.txt

# In one terminal do
rasa run
# In other do
rasa run actions

Run Multilingual React Bot

For Fastapi (backend) server

cd IVR-multilingual
cd api
uvicorn main:app --reload

For react (frontend) app

cd IVR-multilingual
cd frontend
npm install
npm start

Run Voice bot in terminal

cd IVR-terminal
python voice.py

Run Web Chat Voice Bot

cd IVR-web-eng
# and run the html file using live server

πŸ’» Tech Stack & dependencies

Python, RASA, SQL, gTTS, Twilio, Google Calender API, Google Translator, playsound, prettytable, PyAudio, requests, SpeechRecognition, android, HTML, geopy, opencage, pyauthorize, spacy, smtp, FastAPI

made with πŸ’• by:

ivr-chatbot's People

Contributors

ankithans avatar aryamaan23 avatar

Stargazers

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Watchers

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