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Customer Service Chat Bot

This document describes a customer service chat bot that can interpret customer complaints, search a database for resolutions, and hand new issues to support staff to update the database. The bot would use machine learning and natural language processing on past conversations to handle similar queries in the future across industries like travel, healthcare, banking, e-commerce, and education. It would have a text-based front-end and back-end using technologies like Python, NLP, machine learning, Django, Java script, HTML, and CSS to power the bot logic and interface with data sources and allow for human intervention when needed.

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nikhil
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176 views3 pages

Customer Service Chat Bot

This document describes a customer service chat bot that can interpret customer complaints, search a database for resolutions, and hand new issues to support staff to update the database. The bot would use machine learning and natural language processing on past conversations to handle similar queries in the future across industries like travel, healthcare, banking, e-commerce, and education. It would have a text-based front-end and back-end using technologies like Python, NLP, machine learning, Django, Java script, HTML, and CSS to power the bot logic and interface with data sources and allow for human intervention when needed.

Uploaded by

nikhil
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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CUSTOMER SERVICE CHAT BOT

Ministry/organisation name: KG Info Systems Pvt Ltd


Problem statement: Customer Support Chat bot with ML
Team name: TechnoVedas
Team leader name: Devashri Gavaskar College code: AICTE: 1-3508449721
AISHE: C-33792

Description: A chat bot which can interpret the customer complaints or


queries, search the DB for resolution and in case new solution found, hand it
over to support staff. Based on the conversation b/w customer and staff,
update the DB, be prepared to handle similar queries in future.

1
IDEA/APPROACH
USES: DEPENDENCIES:
Travel industry Customer Service Executive
Healthcare industry for training purposes.

Knowledge Base
Banking for providing solutions.

E-commerce Interaction History & Analytics


dataset of conversations.
Educational websites
Open API’s
Business virtual assistant for off topic answers

Real Estate

2
FRONT-END BACK-END

TECHNOLOGY STACK
Python(NL Database
T)

ML ux-ui design

Text Django
BOT NLP Java script
Input

C HTML CSS
U
S
T
O
BOT Machine
M
Logic Learning
E
R

Information
Answer
Sources

Human
Intervention

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