Abstract

In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level, Power full programming Scripting language. Fully developed voice recognition modules are to be used for development of our research oriented topic.

Highlights

  • Our system is fully designed and idealized by us after aiming to develop product that will help in improving customer service process for normal people independent on language literacy

  • Language barrier becomes problem as Systems are not designed for multiple language

  • To develop Voice enabled system that will work on voice commands

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Summary

INTRODUCTION

A chatbot is a PC framework, which can communicate with clients by utilizing characteristic language. It is intended to serve in a specific space, for example, web based shopping, on the web often posed inquiries (FAQ) and colleague framework[3]. Clients can undoubtedly utilize it without foundation learning or again encounters. Chatbot can serve numerous individuals at a similar time with a similar point and without getting exhausted. This might be the appropriate capacity to be embraced in open assistance, for example, the therapeutic help [1]. The goal of this work is to expand the administration capacity decline the activity cost of restorative expert help by utilizing the chatbot

SYSTEM OVERVIEW
PROBLEM STATEMENT
LITERATURE SURVEY
Objective
SYSTEM ARCHITECTURE
CONCLUSION
TutorBot
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