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

Overview

IVR-Chatbot

Achievements 🏆

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.

💡 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)

🤖 How we built it

Flow

🙈 Mockups

Text to Speech and Speech to Text

Web Chat

Multilingual Support

Web Multiligual

Whatsapp

whatsapp

Telegram

telegram

Slack

slack

Alexa

alexa

👣 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

💻 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 💕 by:

You might also like...
A PyTorch Implementation of End-to-End Models for Speech-to-Text

speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne

End-to-End Speech Processing Toolkit
End-to-End Speech Processing Toolkit

ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Espresso Espresso is an open-source, modular, extensible end-to-end neural automatic speech recognition (ASR) toolkit based on the deep learning libra

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
Athena is an open-source implementation of end-to-end speech processing engine.

Athena is an open-source implementation of end-to-end speech processing engine. Our vision is to empower both industrial application and academic research on end-to-end models for speech processing. To make speech processing available to everyone, we're also releasing example implementation and recipe on some opensource dataset for various tasks (Automatic Speech Recognition, Speech Synthesis, Voice Conversion, Speaker Recognition, etc).

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

🤗 Contributing to OpenSpeech 🤗 OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform ta

A demo for end-to-end English and Chinese text spotting using ABCNet.
A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

Releases(v1.0)
Owner
ARYAMAAN PANDEY
ABInbev Maverick 2.0 Bot-a-thon Winner | Rakuten-Rakathon 2021 Runner Up | AFF Hackathon Winner | Python | JavaScript | Tailwind CSS | ReactJS | ML | NLP
ARYAMAAN PANDEY
ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.

Description: ProtFeat is designed to extract the protein features by employing POSSUM and iFeature python-based tools. ProtFeat includes a total of 39

GOKHAN OZSARI 5 Dec 16, 2022
Weakly-supervised Text Classification Based on Keyword Graph

Weakly-supervised Text Classification Based on Keyword Graph How to run? Download data Our dataset follows previous works. For long texts, we follow C

Hello_World 20 Dec 29, 2022
**NSFW** A chatbot based on GPT2-chitchat

DangBot -- 好怪哦,再来一句 卡群怪话bot,powered by GPT2 for Chinese chitchat Training Example: python train.py --lr 5e-2 --epochs 30 --max_len 300 --batch_size 8

Tommy Yang 11 Jul 21, 2022
Code for lyric-section-to-comment generation based on huggingface transformers.

CommentGeneration Code for lyric-section-to-comment generation based on huggingface transformers. Migrate Guyu model and code (both 12-layers and 24-l

Yawei Sun 8 Sep 04, 2021
An open source framework for seq2seq models in PyTorch.

pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and

International Business Machines 1.4k Jan 02, 2023
Python library for interactive topic model visualization. Port of the R LDAvis package.

pyLDAvis Python library for interactive topic model visualization. This is a port of the fabulous R package by Carson Sievert and Kenny Shirley. pyLDA

Ben Mabey 1.7k Dec 20, 2022
Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis

MLP Singer Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis. Audio samples are available on our demo page.

Neosapience 103 Dec 23, 2022
Input english text, then translate it between languages n times using the Deep Translator Python Library.

mass-translator About Input english text, then translate it between languages n times using the Deep Translator Python Library. How to Use Install dep

2 Mar 04, 2022
运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。

OlittleRer 运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。编程语言和工具包括Java、Python、Matlab、CPLEX、Gurobi、SCIP 等。 关注我们: 运筹小公众号 有问题可以直接在

运小筹 151 Dec 30, 2022
2021搜狐校园文本匹配算法大赛baseline

sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline,主要是通过条件LayerNorm来增加模型的多样性,以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74,线上测试集F1约0.73。

苏剑林(Jianlin Su) 45 Sep 06, 2022
XLNet: Generalized Autoregressive Pretraining for Language Understanding

Introduction XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective.

Zihang Dai 6k Jan 07, 2023
ReCoin - Restoring our environment and businesses in parallel

Shashank Ojha, Sabrina Button, Abdellah Ghassel, Joshua Gonzales "Reduce Reuse R

sabrina button 1 Mar 14, 2022
An implementation of the Pay Attention when Required transformer

Pay Attention when Required (PAR) Transformer-XL An implementation of the Pay Attention when Required transformer from the paper: https://arxiv.org/pd

7 Aug 11, 2022
Build Text Rerankers with Deep Language Models

Reranker is a lightweight, effective and efficient package for training and deploying deep languge model reranker in information retrieval (IR), question answering (QA) and many other natural languag

Luyu Gao 140 Dec 06, 2022
The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

Subformer This repository contains the code for the Subformer. To help overcome this we propose the Subformer, allowing us to retain performance while

Machel Reid 10 Dec 27, 2022
NLP codes implemented with Pytorch (w/o library such as huggingface)

NLP_scratch NLP codes implemented with Pytorch (w/o library such as huggingface) scripts ├── models: Neural Network models ├── data: codes for dataloa

3 Dec 28, 2021
Resources for "Natural Language Processing" Coursera course.

Natural Language Processing course resources This github contains practical assignments for Natural Language Processing course by Higher School of Eco

Advanced Machine Learning specialisation by HSE 1.1k Jan 01, 2023
Faster, modernized fork of the language identification tool langid.py

py3langid py3langid is a fork of the standalone language identification tool langid.py by Marco Lui. Original license: BSD-2-Clause. Fork license: BSD

Adrien Barbaresi 12 Nov 05, 2022
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

Graph-Bert Source code of "Graph-Bert: Only Attention is Needed for Learning Graph Representations". Please check the script.py as the entry point. We

14 Mar 25, 2022
A paper list for aspect based sentiment analysis.

Aspect-Based-Sentiment-Analysis A paper list for aspect based sentiment analysis. Survey [IEEE-TAC-20]: Issues and Challenges of Aspect-based Sentimen

jiangqn 419 Dec 20, 2022