Submit Search
Upload
Chatbot Review in Hindi Language
•
0 likes
•
26 views
AI-enhanced title
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i11/IRJET-V6I11191.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
IRJET- Review of Chatbot System in Marathi Language
IRJET- Review of Chatbot System in Marathi Language
IRJET Journal
Â
IRJET- Information Chatbot for an Educational Institute
IRJET- Information Chatbot for an Educational Institute
IRJET Journal
Â
IRJET- Interactive Interview Chatbot
IRJET- Interactive Interview Chatbot
IRJET Journal
Â
IRJET - Chat-Bot for College Information System using AI
IRJET - Chat-Bot for College Information System using AI
IRJET Journal
Â
IRJET- NEEV: An Education Informational Chatbot
IRJET- NEEV: An Education Informational Chatbot
IRJET Journal
Â
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...
IRJET Journal
Â
An Intelligent Career Counselling Bot A System for Counselling
An Intelligent Career Counselling Bot A System for Counselling
IRJET Journal
Â
A black-box-approach-for-response-quality-evaluation-of-conversational-agent-...
A black-box-approach-for-response-quality-evaluation-of-conversational-agent-...
Cemal Ardil
Â
Recommended
IRJET- Review of Chatbot System in Marathi Language
IRJET- Review of Chatbot System in Marathi Language
IRJET Journal
Â
IRJET- Information Chatbot for an Educational Institute
IRJET- Information Chatbot for an Educational Institute
IRJET Journal
Â
IRJET- Interactive Interview Chatbot
IRJET- Interactive Interview Chatbot
IRJET Journal
Â
IRJET - Chat-Bot for College Information System using AI
IRJET - Chat-Bot for College Information System using AI
IRJET Journal
Â
IRJET- NEEV: An Education Informational Chatbot
IRJET- NEEV: An Education Informational Chatbot
IRJET Journal
Â
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...
IRJET Journal
Â
An Intelligent Career Counselling Bot A System for Counselling
An Intelligent Career Counselling Bot A System for Counselling
IRJET Journal
Â
A black-box-approach-for-response-quality-evaluation-of-conversational-agent-...
A black-box-approach-for-response-quality-evaluation-of-conversational-agent-...
Cemal Ardil
Â
Chat bot in_pythion
Chat bot in_pythion
ShivendraPratapSingh84
Â
IRJET- Artificial Intelligence Based Chat-Bot
IRJET- Artificial Intelligence Based Chat-Bot
IRJET Journal
Â
IRJET - Chatbot for HR Department using AIML and LSA
IRJET - Chatbot for HR Department using AIML and LSA
IRJET Journal
Â
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
IRJET Journal
Â
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
IRJET Journal
Â
IRJET- College Enquiry Chatbot System(DMCE)
IRJET- College Enquiry Chatbot System(DMCE)
IRJET Journal
Â
IRJET- Chatbot using NLP and Deep Learning
IRJET- Chatbot using NLP and Deep Learning
IRJET Journal
Â
IRJET- Conversational Assistant based on Sentiment Analysis
IRJET- Conversational Assistant based on Sentiment Analysis
IRJET Journal
Â
Chat-Bot for College Management System using A.I
Chat-Bot for College Management System using A.I
IRJET Journal
Â
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
Himanshu kandwal
Â
IRJET- Development of College Enquiry Chatbot using Snatchbot
IRJET- Development of College Enquiry Chatbot using Snatchbot
IRJET Journal
Â
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
Journal For Research
Â
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
IRJET Journal
Â
IRJET - College Enquiry Chatbot
IRJET - College Enquiry Chatbot
IRJET Journal
Â
Banking botreport
Banking botreport
usha raj
Â
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
IJCSEIT Journal
Â
IRJET - Artificial Conversation Entity for an Educational Institute
IRJET - Artificial Conversation Entity for an Educational Institute
IRJET Journal
Â
G1803013542
G1803013542
IOSR Journals
Â
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
ijait
Â
IRJET - A Study on Building a Web based Chatbot from Scratch
IRJET - A Study on Building a Web based Chatbot from Scratch
IRJET Journal
Â
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
IRJET Journal
Â
NEURAL NETWORK BOT
NEURAL NETWORK BOT
IRJET Journal
Â
More Related Content
What's hot
Chat bot in_pythion
Chat bot in_pythion
ShivendraPratapSingh84
Â
IRJET- Artificial Intelligence Based Chat-Bot
IRJET- Artificial Intelligence Based Chat-Bot
IRJET Journal
Â
IRJET - Chatbot for HR Department using AIML and LSA
IRJET - Chatbot for HR Department using AIML and LSA
IRJET Journal
Â
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
IRJET Journal
Â
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
IRJET Journal
Â
IRJET- College Enquiry Chatbot System(DMCE)
IRJET- College Enquiry Chatbot System(DMCE)
IRJET Journal
Â
IRJET- Chatbot using NLP and Deep Learning
IRJET- Chatbot using NLP and Deep Learning
IRJET Journal
Â
IRJET- Conversational Assistant based on Sentiment Analysis
IRJET- Conversational Assistant based on Sentiment Analysis
IRJET Journal
Â
Chat-Bot for College Management System using A.I
Chat-Bot for College Management System using A.I
IRJET Journal
Â
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
Himanshu kandwal
Â
IRJET- Development of College Enquiry Chatbot using Snatchbot
IRJET- Development of College Enquiry Chatbot using Snatchbot
IRJET Journal
Â
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
Journal For Research
Â
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
IRJET Journal
Â
IRJET - College Enquiry Chatbot
IRJET - College Enquiry Chatbot
IRJET Journal
Â
Banking botreport
Banking botreport
usha raj
Â
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
IJCSEIT Journal
Â
IRJET - Artificial Conversation Entity for an Educational Institute
IRJET - Artificial Conversation Entity for an Educational Institute
IRJET Journal
Â
G1803013542
G1803013542
IOSR Journals
Â
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
ijait
Â
IRJET - A Study on Building a Web based Chatbot from Scratch
IRJET - A Study on Building a Web based Chatbot from Scratch
IRJET Journal
Â
What's hot
(20)
Chat bot in_pythion
Chat bot in_pythion
Â
IRJET- Artificial Intelligence Based Chat-Bot
IRJET- Artificial Intelligence Based Chat-Bot
Â
IRJET - Chatbot for HR Department using AIML and LSA
IRJET - Chatbot for HR Department using AIML and LSA
Â
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...
Â
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP Process
Â
IRJET- College Enquiry Chatbot System(DMCE)
IRJET- College Enquiry Chatbot System(DMCE)
Â
IRJET- Chatbot using NLP and Deep Learning
IRJET- Chatbot using NLP and Deep Learning
Â
IRJET- Conversational Assistant based on Sentiment Analysis
IRJET- Conversational Assistant based on Sentiment Analysis
Â
Chat-Bot for College Management System using A.I
Chat-Bot for College Management System using A.I
Â
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
NLP_A Chat-Bot_answering_queries_of_UT-Dallas_Students
Â
IRJET- Development of College Enquiry Chatbot using Snatchbot
IRJET- Development of College Enquiry Chatbot using Snatchbot
Â
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
CHATBOT FOR COLLEGE RELATED QUERIES | J4RV4I1008
Â
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXA
Â
IRJET - College Enquiry Chatbot
IRJET - College Enquiry Chatbot
Â
Banking botreport
Banking botreport
Â
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
TALASH: A SEMANTIC AND CONTEXT BASED OPTIMIZED HINDI SEARCH ENGINE
Â
IRJET - Artificial Conversation Entity for an Educational Institute
IRJET - Artificial Conversation Entity for an Educational Institute
Â
G1803013542
G1803013542
Â
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA
Â
IRJET - A Study on Building a Web based Chatbot from Scratch
IRJET - A Study on Building a Web based Chatbot from Scratch
Â
Similar to Chatbot Review in Hindi Language
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
IRJET Journal
Â
NEURAL NETWORK BOT
NEURAL NETWORK BOT
IRJET Journal
Â
WHATSAPP CHATBOT FOR CAREER GUIDANCE
WHATSAPP CHATBOT FOR CAREER GUIDANCE
IRJET Journal
Â
HealthCare ChatBot Using Machine Learning
HealthCare ChatBot Using Machine Learning
IRJET Journal
Â
IRJET - Mobile Chatbot for Information Search
IRJET - Mobile Chatbot for Information Search
IRJET Journal
Â
Survey on Chatbot Classification and Technologies
Survey on Chatbot Classification and Technologies
IRJET Journal
Â
Design of Chatbot using Deep Learning
Design of Chatbot using Deep Learning
IRJET Journal
Â
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMS
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMS
IRJET Journal
Â
VOCAL- Voice Command Application using Artificial Intelligence
VOCAL- Voice Command Application using Artificial Intelligence
IRJET Journal
Â
AI CHAT BOT USING SHAN ALGORITHM
AI CHAT BOT USING SHAN ALGORITHM
IRJET Journal
Â
AI and Web-Based Interactive College Enquiry Chatbot
AI and Web-Based Interactive College Enquiry Chatbot
IRJET Journal
Â
IRJET - Query Processing using NLP
IRJET - Query Processing using NLP
IRJET Journal
Â
IRJET- Recruitment Chatbot
IRJET- Recruitment Chatbot
IRJET Journal
Â
A Review Comparative Analysis On Various Chatbots Design
A Review Comparative Analysis On Various Chatbots Design
Courtney Esco
Â
An Intelligent Chatbot for College Enquiry with Amazon Lex
An Intelligent Chatbot for College Enquiry with Amazon Lex
IRJET Journal
Â
Chatbot
Chatbot
ijtsrd
Â
IRJET- Multimedia Chatbot using Classification
IRJET- Multimedia Chatbot using Classification
IRJET Journal
Â
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...
IRJET Journal
Â
Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support
Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support
IRJET Journal
Â
COLLEGE ENQUIRY CHATBOT SYSTEM IN JAVASCRIPT
COLLEGE ENQUIRY CHATBOT SYSTEM IN JAVASCRIPT
IRJET Journal
Â
Similar to Chatbot Review in Hindi Language
(20)
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
Â
NEURAL NETWORK BOT
NEURAL NETWORK BOT
Â
WHATSAPP CHATBOT FOR CAREER GUIDANCE
WHATSAPP CHATBOT FOR CAREER GUIDANCE
Â
HealthCare ChatBot Using Machine Learning
HealthCare ChatBot Using Machine Learning
Â
IRJET - Mobile Chatbot for Information Search
IRJET - Mobile Chatbot for Information Search
Â
Survey on Chatbot Classification and Technologies
Survey on Chatbot Classification and Technologies
Â
Design of Chatbot using Deep Learning
Design of Chatbot using Deep Learning
Â
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMS
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMS
Â
VOCAL- Voice Command Application using Artificial Intelligence
VOCAL- Voice Command Application using Artificial Intelligence
Â
AI CHAT BOT USING SHAN ALGORITHM
AI CHAT BOT USING SHAN ALGORITHM
Â
AI and Web-Based Interactive College Enquiry Chatbot
AI and Web-Based Interactive College Enquiry Chatbot
Â
IRJET - Query Processing using NLP
IRJET - Query Processing using NLP
Â
IRJET- Recruitment Chatbot
IRJET- Recruitment Chatbot
Â
A Review Comparative Analysis On Various Chatbots Design
A Review Comparative Analysis On Various Chatbots Design
Â
An Intelligent Chatbot for College Enquiry with Amazon Lex
An Intelligent Chatbot for College Enquiry with Amazon Lex
Â
Chatbot
Chatbot
Â
IRJET- Multimedia Chatbot using Classification
IRJET- Multimedia Chatbot using Classification
Â
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...
Â
Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support
Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support
Â
COLLEGE ENQUIRY CHATBOT SYSTEM IN JAVASCRIPT
COLLEGE ENQUIRY CHATBOT SYSTEM IN JAVASCRIPT
Â
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
Â
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
Â
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
Â
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
Â
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
Â
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
Â
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
Â
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Â
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
Â
React based fullstack edtech web application
React based fullstack edtech web application
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Â
Recently uploaded
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Â
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Â
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
upamatechverse
Â
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
hassan khalil
Â
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
misbanausheenparvam
Â
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Christo Ananth
Â
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
AbhinavSharma374939
Â
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Dr.Costas Sachpazis
Â
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Tsuyoshi Horigome
Â
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
soniya singh
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
Â
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Â
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Â
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
pranjaldaimarysona
Â
Recently uploaded
(20)
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Â
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Â
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
Â
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
Â
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
Â
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Â
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Â
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
Â
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Â
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Â
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Â
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Â
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Â
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
Â
Chatbot Review in Hindi Language
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1847 Review of Chatbot System in Hindi Language Varad Bhagwat1, Mrunal Nagarkar2, Pooja Paramane3, Shrikant Jindam4, Prof. N.G. Kharate5 1,2,3,4Student, Comp Dept, VIIT College, Pune, India 5Guide, Comp Dept, VIIT College, Pune, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In the modern Era of technology, Chatbots is the next big thing in the era of interactive services. Chatbots is a virtual person who can effectively talk to any human being using collaborative textual skills. A virtual person is based on machine learning and Artificial Intelligence (AI) concepts and due to dynamic nature, there is a drawback inthe designand developmentof these chatbots as they have built-in AI, NLP, programming and conversion services. Chatbot acts like routing agent that can categorize user context in conversation. Chatbothelpedwithnaturallanguageprocessing(NLP)to analyzetherequestandextract some keyword information. In this system chatbot is designed according to query-based system in Hindi language (Indian Language). User asks the question to system; the system automatically replay all answer through chatbot. OCR concept is used to fetch data from pdf or images in the text format. All the query related information is added in this system. Althoughthe significant work is not carried out for Hindi language chatbot but many researchersand organizationhavestartedbuildingchatbotsystemin this field. Key Words: NLP, OCR, Data-set, Pattern Matching, Machine Translation. 1. INTRODUCTION A chatbot is a program intended to counterfeit a smart communication on a text or spoken ground. But this paper is based on the text only chatbot. Chatbot categorize the user input as well as by using pattern matching, access information to provide a predefined Acknowledgement, based on the sentence given by the user. When the input is bringing into being in the database, a response from a predefined pattern is given to the user. A Chatbot is executed using pattern comparing, in which the order of the sentence is recognized and a saved response pattern is adapt to the select variables of the sentence. Chatbots are mainly developed is conversational dialogue engine which is built in Python, which makes it possible to replybasedonthe collections of all the known conversations. This chatbot system uses Hindi language. All the query related data isavailableinthissystem’s database. Text Recognition usually abbreviated to OCR, involves a computer system intended to interpret images of typewritten text (usually captured by a scanner) into machine editable text or to interpret pictures of characters into a standard encoding scheme representing them. OCR commenced as a field of research in artificial intelligence and computational vision. Text Recognition used in official task in which the large data have to type like post offices, banks, colleges etc., in real life applications where we want to collect some information from text written image. People wish to scan in a document and have the text of that document available in a .txt or .docx format. 2. LITERATURE SURVEY The making and execution of chatbots is still a developing area,heavilyrelatedtoartificial intelligenceandmachinelearning,so the provided solutions, while possessing obvious advantages, have some important limitations in terms of functionalitiesand use cases. However, this is changing over time. Mr. A.M. Rahman has identified some programming challenges of chatbot, For bot to work resourcefully it needs to providevast logical resources which are I/P, O/P and entity phrases. It should be given care on singular, plural forms, Synonyms, Antonyms and the most important is the sentimental analysis [1]. Response generation using Intent Classification and EntityRecognition.Responseselectorselectsresponsewhichshouldwork better for the user. Bot is based on the integration, in which information “bot sends” commands into web service and gets it results [1]. Belfin R.V, Shobhana A.J, Megha Manilal, Ashly ann Mathew, Blessy Babu they have proposed A Graph Based Chatbot for cancer Patients. It is presented in text and Audio. The Continuous Communication with Bot bring positive attitude in patients. In their research work they have implemented, Knowledge Based Chatbot which fetch appropriate data from Cancerdatabaseandscrap
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1848 data from different Cancer forums using Beautiful Soap. Some data pre-processing techniques like tokenization, punctuation removal, stop word removal, stemming is performed.[2] In Ticketing Chatbot Service using ServerlessNLPTechnology,theyhavedefinedSpecificdomainchatbotwhichcanredefinechat experienced with the automated response and also some CUI response that guided the user. Existence of more database /data result in more intellectual chatbot. Classification of intent in term of the sentence needs to be more fluent to consider assurance rate. In the future, chat history can be considered as chat experience so behaviour of the user can be analysed [3]. College Enquiry Chatbot Using Knowledge in Database proposed that User will interact with web interface of the bot. The web application will be connected to the bot with the help of the bot connector which will create the object through which it will communicatewiththe bot.thequery entered by the user will be sent to LUIS.ai where it will be handled and Intent and Entity of the user query will be retrieved and the equivalent response will be fetched from database[4]. In this system there are two modules: A. Online Enquiry: Students can enquire about faculties and query related to exams B. Online Chat Bot: 1) The result can be show in images, cards format. 2) The query will be answered on the basis of question asks and language model built in LUIS and responses store [4]. In AMBER Chatbot and Detection of Paraphrases for Devnagari implemented by ShahManthan,Jigneshkumar,ArnavMediratta, Akshay Kundale, Shubham Nangare. Has proposed Natural Language Processing tasks such as Transliteration, Tokenization, Part of Speech. AMBER uses Sentence Generation. It uses Paraphrasing detection Library. It also uses several frameworks for determining semantic similarity DKPro Similarity. Word Alignment Algorithm is used to calculate alignment amongst idioms and phrasal chunks. RDRPOST Tagger is used for obtaining POS Tags. It uses phonetic and stripping algorithm to find out suffix.[5] Partrick Jansson, Shuhua Liu proposed detection of Novel and Emerging Named Entities from Social Media by using LSTM Model. Its framework contains of the components like Word Embedding, POS Tagging. Word embeddings are present standard for many text applications as they are found to be able to appropriately capture not only syntactic regularities but also for semantic regularities of word. The GATE Twitter POS tagger is used to assign POS tags for each word [6]. In Question-Answering System surveyed by Ali Mohamed Nabil Allam and Mohamed Hassan Haggag, worked in the field of information retrieval (IR). The QA Systems are concerned with providing appropriate answer inreplytoquestion proposedin natural language. The system is composed of three mechanisms as question classification, information retrieval and answer extraction [7]. In survey of machine translation for Indian languages to English and its approaches by Namrata G. Kharate and Dr. Varsha H. Patil surveyed on machine Translation based on several approaches such as Dictionary based, Rule based, Corpus based, Knowledge based and Hybrid based. Which showed us the work required and way to frame answer for asked question relatively with the work of shallow parser [8]. Researched done by M. Dahiya who has implemented a text based chatbot, which recognize the user input with pattern matching and access the given information for creating the answers. The paper covers the fundamental techniques to design the chatbot. Such as creating the dialog, creating database, creating a chat and conversation [9].
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1849 Table 1: Previous Survey Sr no YEAR TITLE LANGUAGE METHODOLOGY OBSERVATIONS 1. 2017 Programming Challenges of Chatbot. English. Response generation using Intent Classification and Entity Recognition. Response selector selects response which should work better for the user. Bot is based on the integration, in which information “bot sends” commands into web service and gets it results. For bot to work efficiently it needs to provide vast logicalresourceswhichare I/P, O/P and entity phrases. It should be given attention on singular, plural forms, Synonyms, Antonyms and the most important is the sentimental analysis. 2. 2019 A Graph Based Chatbot for cancer Patients English. 1.Knowlege Based Chatbot a. Fetch Appropriate Data from Cancer database b. Scrap Data from different Cancer forums using Beautiful Soap. 2.Data Pre-processing a. Tokenization b. Punctuation Removal c. Stop word Removal d. Stemming 3.Data Modelling a. Data converted into graph model using Neo4j. 4.Detecting type of cancer and show 1.It is available in text and Audio 2. The Constant Communication with Bot bring positive attitude in patients. 3. Helpful for job Schedulers because they did not need to wait in Queue for doctors counselling, they directly use chatbot for their help. 4. Data collected from various forums makes chatbot more dynamic and specific. 3. 2018 Ticketing Chatbot Service using Serverless NLP Technology English. 1.Node JS Webhook: a. Webhook is HTTP call-back. b. It work on post and get request, then request is routed by node JS. c. It used in NLP to make data process more flexible. 2.Wit.AI NLP Services: a. It is used for ML and AI purposed. b. Wit.AI is trained with understanding i.e. combination of entity and intent Recognition. c. It trained with some keyword that user usually writes in chat. 1.Specific domain chatbot can redefine chat experienced with the automated response and also some CUI response thatguided the user. 2. Presence of more database /data resultin more intelligent chatbot. 3. Classification of intent in term of the sentence needs to be more fluent to consider confidence rate. In the future, chat history can be considered as chat experience so the behaviourofthe usercan be analysed. 4. 2018 College Enquiry Chatbot Using Knowledge in Database English. A. Online Enquiry 1) Students can enquiry about faculties and query related to exams B. Online Chat Bot 1) The result can be show in images, cards format 2) The query will be answered on basisofquestion asks and language model built in LUIS and responses are stored. User will interact with the web interface of the bot. the web application will be connected to the bot with the help of the bot connector which will create the object through which we will communicate with bot. the query entered by the user will be sent to LUIS.ai where it will be processed and Intent and Entity of the user query will be retrieved and the corresponding response will be fetched from database. 5. 2017 AMBER Chatbot and Detectionof Paraphrases for Devnagari Marathi. 1.AMBER stands for A Marathi Based Eliza Chatterbot 2. AMBER carries out various Natural Language Processing tasks such as Transliteration, Tokenization, Part of Speech. 3.AMBER uses Sentence Generation 4.It uses Paraphrasing detection Library 5. It uses several frameworks for measuring semantic similarity DKPro Similarity. 1. Paraphrase is a process of computingthe semantic similarity between sentences which are not lexicographically similar. 2. Chatbot is used to experience chat with automated response. 3. We can use paraphrase Identification for Machine Translation, Question Answering Machine, Multiple Text Summarization.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1850 6. Word Alignment Algorithm is used to compute alignment between idioms and phrasal chunks. 7. RDRPOST Tagger is used for obtaining POS Tags. So, according to the survey studied we get to know that there is no as such efficient work done for Hindi language. 3. PROPOSE SYSTEM In this system chatbot is designed for question-answering purpose.TheHindilanguage chatbotisusedtointeractwithuser.All the data important for answering the question is available on the portal. Itisa communiquésimulatingcomputer program.Itis all about the conversation with the user. The chat with a Chatbot is very simple. It answers to the questions asked by the user. During designing a Chatbot, how does the Chatbot will communicate to the user? And how will be the conversation with the user and the Chatbot is very important topic. For creating a Chatbot, a program has to be written in python programming language is used for programming. The Chatbot is created in sucha waytohelptheuser byansweringtheirall queries,improve the communication and amuse the user. The chat is formed using a pattern that is known to the user and could be easy to understand. Chat dialog box show up to create conversation.Thisdialogboxiscreated usingpythoncoding.Pattern Matchingis a method of artificial intelligence used in the design of a Chatbot. The input is compared with the inputs saved in the database and matching response is returned. Text recognition classification is used for large size of data or files. It is easy to extract text data from such large files using OCR technology. Text detection, localization and tracking modulesarecorrelatedto eachother and constitute the most stimulating and difficult part of extraction process. By using tesseract OCR with python system, we extract the text from images, pdf or other multiple files. 4. SYSTEM ARCHITECTURE Figure 1: system architecture In System architecture System Modules areChatbot,OCRTextRecognition, RelatedData,SystemInterface.TheChatbotModule uses the python language for user interface and pattern matching. In OCR python uses tesseract OCR library for text detection and character recognition. User input data as a text and chatbot system response in text format in chatbot dialog.Thepdf,Doc, Image file given as input to the OCR system for text data. The system provides all data to the user on given portal. 5. Modules There system is divided into four parts according to functions performed by individuals. In this system we need to collect the chatbot, data from intended resources. 5.1. Chatbot: Chatbot: For creating a Chatbot, a program has to be written in python programming language is used for programming. The Chatbot is created in such a way to assist the user, improve the communication and amuse the user.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1851 Chat: The chat is created using a pattern that is known to the user and could be easy to understand. Chatdialogboxshowupto create conversation. This dialog box is created using python design and is added on the portal as plugin. POS Tagging: It is the procedure of identifying correct tag like noun, adjective, verb, adverb etc. to each word of the input sentence. NER Tagging: Named entity recognition is the procedure of distinguishing named entities which arepresentindatabase.NER mostly used and applied for information retrieval. Ranking Algorithm: Once we get our question with NER tags,thenwecangivetheweightagetooursametaggeddatasetaswe can find answer to the query in that dataset. Pattern Matching: It is a method of artificial intelligence used in the design of a Chatbot. The input is matched with theinputs saved in the database and consistent response is given back. Simple: The architecture of a Chatbot is very simple. It just answers to the questions queried by the user, if the question is found in the database. 5.2. OCR Text Recognition: Text Detection: This phase takes image or video frame as input and decides it contains text or not. It also identifies the text regions in image. Text Localization: Text localization merges the text regions to formulate the text objects and define the tight bounds around the text objects. Text Tracking: This phase is applied to files data only. For the readability purpose, text embedded inthefilesappearsinmore than thirty consecutive frames. Text tracking phase exploits this temporal occurrence of the same text object in multiple consecutive frames. It can be used to rectify the results of text detection and localization stage. It is also used to speed up the text extraction process by not applying the binarization and recognition step to every detected object. Character Recognition: The last module of text extraction process is the character recognition. This module converts the binary text object into the ASCII text. 5.3. Related Data: All the schedule data for year is collected as system data for user help. This portal help userwith all data on a single platform in Hindi language. 5.4. System Interface: The system interaction with internal module is done for better user interface. 6. Future Scope The proposed chatbot can answer to only textually typed question which can also be implemented for voice-based question answering system and can also be implemented for other reginal language. 7. Conclusion This paper enlightens all the issue, challenges and issue faced by system to provide efficient help for student,college,teachers and all other sub parts. The advance chatbot system with Hindi language is used for better userinterfaceforuserto getall data and answer in Hindi language. The system makes simple userinterfacesothey easilyinteractwithsystem.All thescheduledata is available on single portal. Chatbot with OCR for large amount of data processing is available in this system. REFERRENCES [1] A.M Rahman, Alma Islam, “Programming Challenges of Chatbot.”, 2017 IEEE Region 10 Humanitarian Technology Conference, (21-23 Dec 2017). [2] Belfin R.V, Shobhana A.J, Megha Manilal, Ashly ann Mathew, Blessy Babu, “A Graph Based Chatbot for cancer Patients”, 5th international conference on advanced computing & communication systems (ICACCS),( 2019).
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1852 [3] Eko Handoyo, M.Arfan,Yosua Alvin Adi Soetrisno, Maman Somantri, Aghus Sofwan, Enda WistaSinuraya,“TicketingChatbot Service using Serverless NLP Technology”, Proc. Of 2018 5th Int. conf. on information Tech., Computer and Electrical Engineering (ICITACEE), (2018). [4] Harsh Pawar, PranaPrabhu, Ajay Yadav, Vincen Mendonca, Joyce Lemos, “College Enquiry Chatbot Using Knowledge in Database”, International journal for research in applied science & engineering technology (IJRASET), (April 2018). [5] Shah Manthan, Jigneshkumar, Arnav Mediratta, Akshay Kundale, Shubham Nangare, “AMBER Chatbot and Detection of Paraphrases for Devnagari”, Vishwakarma Journal of engineering research, (4 Dec 2017). [6] Partrick Jansson, Shuhua Liu, “Detection of knowledge and emerging named entity from socialmedia byusingLMST Model”, International Conference on Informatics, Electronics & Vision, India, pp. 1-5, (2013). [7] Mohamed Nabil Allam and Mohamed Hassan Haggag, “Question-Answering System: A survey”, International Journal of Research and Reviews in Information Sciences (IJRRIS), (September 2012). [8] Namrata G. Kharate and Dr. Varsha H. Patil, “survey of machine translation for Indian languages to English and its approaches”, “International journal of scientific research in computer science, engineering and information technology”, (2018). [9] M Dahiya, “A tool for conversation: Chatbot”, “International journal of computer science and engineering”, (2017).
Download now