The document discusses AI-based healthcare chatbots and their advantages and limitations. It provides examples of existing chatbots like Youper, Babylon Health, Woebot, and Safedrugbot that provide various healthcare services like monitoring symptoms of depression/anxiety, providing medical consultations, mental health support, and drug safety information. The key advantages of AI healthcare chatbots are that they can provide 24/7 service, personalized care, have low costs, and quick responses. However, limitations include potential inaccuracies in responses, inability to fully diagnose medical conditions, and lack of human empathy in interactions.
This document summarizes a survey paper on chatbots. It discusses how chatbots can be used to relieve stress in adolescents through continuous dialogue that provides positive information and guidance. The proposed "HappySoul" chatbot system would act as a virtual friend to help stressed adolescents express their negative feelings and release stress. The technology at the core of such chatbots is natural language processing, recurrent neural networks, and a client-server architecture with an Android GUI. Key applications of chatbots discussed include assisting dementia patients, helping insomniacs, allowing marginalized communities to provide feedback, and making medical diagnoses faster.
This document summarizes a survey paper on chatbots. It discusses how chatbots use natural language processing to understand user queries and generate responses in a conversational manner. The document outlines the methodology of the proposed chatbot, which uses a client-server architecture with an Android application as the front-end and a recurrent neural network on the server to process inputs and generate outputs. The chatbot is intended to help relieve stress and anxiety in adolescents through positive conversations.
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...IRJET Journal
The document discusses chatbots and artificial intelligence. It provides background on chatbots, including how they have advanced from early rule-based models to more advanced intelligent systems capable of natural conversations. Chatbots analyze user input to formulate relevant responses and are gaining popularity for automating customer service. The document also discusses using knowledge bases and databases to improve chatbot responses and abilities. It reviews different techniques used in building chatbots and their components like classifiers, responders, and knowledge management systems.
Survey on Chatbot Classification and TechnologiesIRJET Journal
This document provides a summary of a research paper on chatbot classification and technologies. It discusses:
1) The evolution of chatbots from early models like ELIZA in 1966 to modern deep learning models.
2) The main uses of chatbots including in government, education, healthcare, customer service, and more.
3) The basic working of chatbots which involves input, analysis, intent/entity identification, and response composition.
The document describes the design of a chatbot using deep learning. It proposes using a neural network with multiple hidden layers to learn and process data for the chatbot. The chatbot is intended to be trained on any file based on the user's needs, making it generalized. It will also have text-to-speech conversion to make it more user-friendly. The chatbot is evaluated and achieved 98.24% accuracy in responding to questions within its training data.
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP ProcessIRJET Journal
This document describes a proposed chatbot called E-Assistant that would be used in the banking sector to help customers complete tasks like opening accounts or applying for loans. It would use natural language processing to understand user queries and respond in text, speech, or visual form. The chatbot's architecture includes modules for context recognition, preprocessing text, intent classification, entity extraction, and context reset. The goal is to provide a helpful and user-friendly assistant to guide customers through banking processes.
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMSIRJET Journal
The document summarizes a research project that aims to develop a banking chatbot using natural language processing (NLP) and machine learning algorithms. The chatbot will be trained on customer query and response data to understand inquiries about account balances, transaction histories, and other banking information. It will use techniques like support vector machine and Naive Bayes classifiers to accurately respond to customer questions in a conversational manner. The researchers conducted a literature review on existing chatbot systems and their limitations in order to inform the methodology for their project, which is designed to provide more personalized responses and handle complex requests through advanced NLP and ML.
HealthCare ChatBot Using Machine LearningIRJET Journal
This document discusses the development of a healthcare chatbot using machine learning. Key points:
1. The chatbot will use machine learning algorithms to understand patient symptoms from conversations in their native language and provide medical advice and health monitoring.
2. Deep learning models like BERT and SQLOVA will be used to train the chatbot's data collection and natural language processing abilities.
3. The proposed system aims to address issues with current healthcare platforms like long wait times for responses from doctors by providing timely answers to common patient questions through the chatbot.
This document summarizes a survey paper on chatbots. It discusses how chatbots can be used to relieve stress in adolescents through continuous dialogue that provides positive information and guidance. The proposed "HappySoul" chatbot system would act as a virtual friend to help stressed adolescents express their negative feelings and release stress. The technology at the core of such chatbots is natural language processing, recurrent neural networks, and a client-server architecture with an Android GUI. Key applications of chatbots discussed include assisting dementia patients, helping insomniacs, allowing marginalized communities to provide feedback, and making medical diagnoses faster.
This document summarizes a survey paper on chatbots. It discusses how chatbots use natural language processing to understand user queries and generate responses in a conversational manner. The document outlines the methodology of the proposed chatbot, which uses a client-server architecture with an Android application as the front-end and a recurrent neural network on the server to process inputs and generate outputs. The chatbot is intended to help relieve stress and anxiety in adolescents through positive conversations.
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...IRJET Journal
The document discusses chatbots and artificial intelligence. It provides background on chatbots, including how they have advanced from early rule-based models to more advanced intelligent systems capable of natural conversations. Chatbots analyze user input to formulate relevant responses and are gaining popularity for automating customer service. The document also discusses using knowledge bases and databases to improve chatbot responses and abilities. It reviews different techniques used in building chatbots and their components like classifiers, responders, and knowledge management systems.
Survey on Chatbot Classification and TechnologiesIRJET Journal
This document provides a summary of a research paper on chatbot classification and technologies. It discusses:
1) The evolution of chatbots from early models like ELIZA in 1966 to modern deep learning models.
2) The main uses of chatbots including in government, education, healthcare, customer service, and more.
3) The basic working of chatbots which involves input, analysis, intent/entity identification, and response composition.
The document describes the design of a chatbot using deep learning. It proposes using a neural network with multiple hidden layers to learn and process data for the chatbot. The chatbot is intended to be trained on any file based on the user's needs, making it generalized. It will also have text-to-speech conversion to make it more user-friendly. The chatbot is evaluated and achieved 98.24% accuracy in responding to questions within its training data.
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP ProcessIRJET Journal
This document describes a proposed chatbot called E-Assistant that would be used in the banking sector to help customers complete tasks like opening accounts or applying for loans. It would use natural language processing to understand user queries and respond in text, speech, or visual form. The chatbot's architecture includes modules for context recognition, preprocessing text, intent classification, entity extraction, and context reset. The goal is to provide a helpful and user-friendly assistant to guide customers through banking processes.
BANKING CHATBOT USING NLP AND MACHINE LEARNING ALGORITHMSIRJET Journal
The document summarizes a research project that aims to develop a banking chatbot using natural language processing (NLP) and machine learning algorithms. The chatbot will be trained on customer query and response data to understand inquiries about account balances, transaction histories, and other banking information. It will use techniques like support vector machine and Naive Bayes classifiers to accurately respond to customer questions in a conversational manner. The researchers conducted a literature review on existing chatbot systems and their limitations in order to inform the methodology for their project, which is designed to provide more personalized responses and handle complex requests through advanced NLP and ML.
HealthCare ChatBot Using Machine LearningIRJET Journal
This document discusses the development of a healthcare chatbot using machine learning. Key points:
1. The chatbot will use machine learning algorithms to understand patient symptoms from conversations in their native language and provide medical advice and health monitoring.
2. Deep learning models like BERT and SQLOVA will be used to train the chatbot's data collection and natural language processing abilities.
3. The proposed system aims to address issues with current healthcare platforms like long wait times for responses from doctors by providing timely answers to common patient questions through the chatbot.
IRJET- Artificial Intelligence Based Chat-BotIRJET Journal
1) The document describes the development of an artificial intelligence chatbot to provide guidance to visitors of a mall. It will provide navigation directions to shops, showtimes for movies, and highlight current discounts.
2) The chatbot uses a Verbot engine for natural language processing and a database to store shop and product information provided by mall owners. It responds to user queries and provides answers, declaring invalid responses that can be modified or deleted by administrators.
3) The proposed system architecture includes home, login, registration, and search screens to allow users to find product discounts via chat with the virtual assistant bot.
The document describes a WhatsApp chatbot developed to provide career guidance and information to users. The chatbot was created using Twilio, Flask, and ngrok. It contains over 50 career roadmaps with details on how to become different professions and attached videos. Users can ask the chatbot questions about career options and it will respond with the appropriate roadmap and information to guide them. The chatbot aims to help users who are unsure about their career path by providing all relevant career information in an easy-to-understand format through WhatsApp messages and replies.
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOTIRJET Journal
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
An Intelligent Career Counselling Bot A System for CounsellingIRJET Journal
This document describes the development of an intelligent career counseling chatbot. The chatbot uses natural language processing and artificial intelligence algorithms to analyze users' career-related questions and respond with relevant answers from its knowledge base. It allows users to ask open-ended career questions without a specific format. The chatbot's responses aim to simulate a conversation with a real career counselor. It helps users choose careers that match their interests and capabilities. The chatbot's processing involves matching user inputs to patterns in its knowledge base to determine an appropriate response. It has the potential to help many users receive career advice without requiring an in-person counselor.
Automated information retrieval and services of graduate school using chatbo...IJECEIAES
Automated information retrieval and servicing systems are a priority demand system in today's businesses to ensure instantaneous customer satisfaction. The chatbot system is an incredible technological application that enables communication channels to automatically respond to end-users in real-time and 24 hours a day. By providing effective services for retrieving information and electronic documents continuously and automating the information service system, the coronavirus disease (COVID-19) is challenging to promote graduate school programs, update news, and retrieve student information in this era. This article discusses automated information retrieval and services based on the architecture, components, technology, and experiment of chatbots. The chatbot system's primary functions are to deliver the course and contact information, answer frequency questions, and provide a link menu to apply for our online course platform. We manage the entire functional process of gathering course information and submitting an application for a course online. The final results compare end users' perceptions of chatbot system usage to onsite services to ensure that the chatbot system can be integrated into the university's information system, supporting university-related questions and answers. We may expand our chatbot system's connection to the university's server to provide information services to students in various informative areas for future research.
Artificial Intelligence Approach for Covid Period StudyPalIRJET Journal
The document proposes the development of an AI chatbot named StudyPal that can serve as a virtual tutor for students. StudyPal would use techniques like active recall and mind mapping to teach students curriculum content for their grade and subject without needing an in-person teacher. The goal is for StudyPal to provide individualized attention to effectively communicate concepts to each student. StudyPal would be created using a federated learning model to maintain data privacy and address issues with internet connectivity. The document outlines the proposed design and development process for StudyPal.
A Review on the Determinants of a suitable Chatbot Framework- Empirical evide...IRJET Journal
This document reviews and compares two popular chatbot frameworks: RASA and IBM Watson Assistant. It analyzes 30 publications using a systematic review approach to examine the development methodology and areas for improvement of each framework. An extensive comparative analysis is conducted using evaluation models to analyze the performance of each chatbot. The study concludes by discussing why one framework may be preferred over the other and future aspects of each based on data collected from 50 respondents at two companies that provide chatbot services.
IRJET- Cloud based Chat Bot using IoT and ArduinoIRJET Journal
This document describes a cloud-based chatbot using the Internet of Things (IoT) and Arduino. The chatbot can communicate with users via Bluetooth using a mobile app. It tells users the current temperature and humidity and their distance from the robot. It also indicates new message notifications using sound and light. Users can have basic conversations with the robot and get information about it. The chatbot uses IoT and Android technologies and works within a wireless local area network (WLAN). It provides a low-cost way for businesses to improve customer service and interactions through an automated chatbot system.
This document provides an overview of various types of chatbots, including their applications and advantages/limitations. It discusses menu-based chatbots, linguistic chatbots, ML chatbots, hybrid chatbots, and voice bots. The key types are menu-based rule-based bots, AI-enabled linguistic and ML bots, and hybrid bots that combine rule-based and AI approaches. Chatbots can be useful in many domains from customer service to healthcare but training requirements and response times vary significantly between rule-based and AI-powered chatbot types.
This document describes a healthcare chatbot that was developed to provide medical information and diagnoses to users. The chatbot uses natural language processing and machine learning to understand users' symptoms and concerns during a conversation. It can then provide diagnoses, treatment recommendations, and allow users to book appointments with doctors if needed. The chatbot was created using Python programming languages and libraries like Flask and works in multiple languages to be accessible to different users. Its goals are to give users accurate medical advice, help schedule appointments efficiently, and reduce contact with doctors when possible during the COVID-19 pandemic.
IRJET- Review of Chatbot System in Hindi LanguageIRJET Journal
This document discusses the design of a Hindi language chatbot system for question answering. The system has four main modules: 1) A chatbot module built using Python that handles user interactions and responses through pattern matching. 2) An optical character recognition (OCR) module using Tesseract that extracts text from images, PDFs, and other files. 3) A database of related data in Hindi that is used to answer user questions. 4) A system interface that allows users to input questions and receives responses from the chatbot in a dialogue box. The system aims to help users by answering their queries in Hindi and improving communication through a conversational interface.
Intelligent Library Assistant (ILA) Using Artificial Intelligence and Natural...IRJET Journal
The document describes a proposed intelligent library assistant chatbot called ILA that would use artificial intelligence and natural language processing to help students access university library resources virtually. ILA would allow students to explore library materials like books 24/7 without having to visit the physical library. The chatbot would be built using Python and integrated with Flask so it could be accessed from mobile devices and computers. The goal is to make library resources easily available to students anytime, anywhere through conversational interactions with the intelligent chatbot.
The days of simply engaging with a service through a keyboard are over. Users interact with systems more and more by using voice assistants and chatbots. A chatbot is a computer program that can chat with human’s using Artificial Intelligence in messaging platforms. Every time when the chatbot gets input from the user, it saves the input and response, which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increase. The ultimate goal of this project is to add a chatbot feature and API. This project will inquire into the advancement of Artificial Intelligence and Machine Learning technology that are being used to improve many services. Most importantly it will look at development of chatbots as a channel for information distribution. The program will select the closest matching response from the matching statement that matches the input utilizing WordNet, it then chooses the response from the known selection of statements for that response. This project aims to implement online chatbot system to assist users who access college website by using tools that expose Artificial Intelligence methods such as Natural Language Processing in allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods in order to be able to generate a response. There are various applications that are incorporating to a human appearance and intends to simulate human dialog, yet in most cases, knowledge of chatbot is stored in a database created by a human expert. Fredrick B Lyngdoh | Raghavendra R. "Chatbot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49799.pdf Paper URL: https://www.ijtsrd.com/computer-science/cognitive-science/49799/chatbot/fredrick-b-lyngdoh
IRJET - Chat-Bot Utilization for Health ConsultancyIRJET Journal
1) The document proposes a chatbot system for health consultancy that can provide appropriate responses and suggestions to patients anytime.
2) It discusses how chatbots are classified as rule-based or AI-based and how AI-based chatbots are preferred as they can be trained for different domains and have more human-like conversations.
3) The proposed health chatbot system would analyze patients' information and medical history to provide basic medication suggestions for minor illnesses and health tips.
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
IRJET - Chatbot for Monitoring Mental HealthIRJET Journal
This document discusses the development of a chatbot to monitor mental health. It begins by outlining the need for better mental healthcare in India given the shortage of professionals. It then discusses how chatbots using artificial intelligence could help address this issue by providing screening, support and monitoring of mental health. The proposed chatbot would use established scales like DASS to screen users, and could incorporate functions like emotion detection via webcam and speech recognition to further assess users. The chatbot would be developed using machine learning algorithms to have natural conversations and improve over time based on user inputs.
A Review Comparative Analysis On Various Chatbots DesignCourtney Esco
The document discusses various techniques used to design chatbots. It presents a survey of chatbot design techniques from nine research papers and compares the main methods used. The document categorizes chatbots into four types - goal-based, knowledge-based, service-based, and response-based. It also describes existing chatbots like Elizabeth bot, Microsoft LUIS, and Alicebot and discusses their approaches to natural language processing and response generation. The document aims to help researchers identify gaps for future chatbot development.
Chatbot for chattint getting requirments and analysis all the toolsSongs24
This document outlines a student chatbot project created by three students - Jaganarul, Akil Vamshi, and Jayamalan. The project aims to build an artificial intelligence chatbot using algorithms that can understand student queries and provide answers, simulating a human conversation. The proposed chatbot will use techniques like natural language processing, recurrent neural networks, and Markov models to classify intents and generate responses from a database. The document discusses the architecture, implementation details, and concludes the chatbot could enhance user engagement and automate customer support processes.
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...IRJET Journal
This document describes a proposed intelligent chatbot system for providing banking information and services in vernacular languages. The proposed chatbot would be able to identify user context and intent to dynamically generate responses in both English and Hindi. It would allow users to ask banking questions and receive responses without needing to physically visit a bank. The system architecture involves users registering and logging in, with sessions created for each user. The chatbot would use the Porter stemming algorithm and identify user intent through natural language processing to accurately answer questions. Responses could be static predefined answers or dynamically generated by a webhook. The goal is to effectively communicate between users and the banking chatbot system across languages.
User stories collection via interactive chatbot to support requirements gathe...TELKOMNIKA JOURNAL
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
IRJET- Artificial Intelligence Based Chat-BotIRJET Journal
1) The document describes the development of an artificial intelligence chatbot to provide guidance to visitors of a mall. It will provide navigation directions to shops, showtimes for movies, and highlight current discounts.
2) The chatbot uses a Verbot engine for natural language processing and a database to store shop and product information provided by mall owners. It responds to user queries and provides answers, declaring invalid responses that can be modified or deleted by administrators.
3) The proposed system architecture includes home, login, registration, and search screens to allow users to find product discounts via chat with the virtual assistant bot.
The document describes a WhatsApp chatbot developed to provide career guidance and information to users. The chatbot was created using Twilio, Flask, and ngrok. It contains over 50 career roadmaps with details on how to become different professions and attached videos. Users can ask the chatbot questions about career options and it will respond with the appropriate roadmap and information to guide them. The chatbot aims to help users who are unsure about their career path by providing all relevant career information in an easy-to-understand format through WhatsApp messages and replies.
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOTIRJET Journal
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
An Intelligent Career Counselling Bot A System for CounsellingIRJET Journal
This document describes the development of an intelligent career counseling chatbot. The chatbot uses natural language processing and artificial intelligence algorithms to analyze users' career-related questions and respond with relevant answers from its knowledge base. It allows users to ask open-ended career questions without a specific format. The chatbot's responses aim to simulate a conversation with a real career counselor. It helps users choose careers that match their interests and capabilities. The chatbot's processing involves matching user inputs to patterns in its knowledge base to determine an appropriate response. It has the potential to help many users receive career advice without requiring an in-person counselor.
Automated information retrieval and services of graduate school using chatbo...IJECEIAES
Automated information retrieval and servicing systems are a priority demand system in today's businesses to ensure instantaneous customer satisfaction. The chatbot system is an incredible technological application that enables communication channels to automatically respond to end-users in real-time and 24 hours a day. By providing effective services for retrieving information and electronic documents continuously and automating the information service system, the coronavirus disease (COVID-19) is challenging to promote graduate school programs, update news, and retrieve student information in this era. This article discusses automated information retrieval and services based on the architecture, components, technology, and experiment of chatbots. The chatbot system's primary functions are to deliver the course and contact information, answer frequency questions, and provide a link menu to apply for our online course platform. We manage the entire functional process of gathering course information and submitting an application for a course online. The final results compare end users' perceptions of chatbot system usage to onsite services to ensure that the chatbot system can be integrated into the university's information system, supporting university-related questions and answers. We may expand our chatbot system's connection to the university's server to provide information services to students in various informative areas for future research.
Artificial Intelligence Approach for Covid Period StudyPalIRJET Journal
The document proposes the development of an AI chatbot named StudyPal that can serve as a virtual tutor for students. StudyPal would use techniques like active recall and mind mapping to teach students curriculum content for their grade and subject without needing an in-person teacher. The goal is for StudyPal to provide individualized attention to effectively communicate concepts to each student. StudyPal would be created using a federated learning model to maintain data privacy and address issues with internet connectivity. The document outlines the proposed design and development process for StudyPal.
A Review on the Determinants of a suitable Chatbot Framework- Empirical evide...IRJET Journal
This document reviews and compares two popular chatbot frameworks: RASA and IBM Watson Assistant. It analyzes 30 publications using a systematic review approach to examine the development methodology and areas for improvement of each framework. An extensive comparative analysis is conducted using evaluation models to analyze the performance of each chatbot. The study concludes by discussing why one framework may be preferred over the other and future aspects of each based on data collected from 50 respondents at two companies that provide chatbot services.
IRJET- Cloud based Chat Bot using IoT and ArduinoIRJET Journal
This document describes a cloud-based chatbot using the Internet of Things (IoT) and Arduino. The chatbot can communicate with users via Bluetooth using a mobile app. It tells users the current temperature and humidity and their distance from the robot. It also indicates new message notifications using sound and light. Users can have basic conversations with the robot and get information about it. The chatbot uses IoT and Android technologies and works within a wireless local area network (WLAN). It provides a low-cost way for businesses to improve customer service and interactions through an automated chatbot system.
This document provides an overview of various types of chatbots, including their applications and advantages/limitations. It discusses menu-based chatbots, linguistic chatbots, ML chatbots, hybrid chatbots, and voice bots. The key types are menu-based rule-based bots, AI-enabled linguistic and ML bots, and hybrid bots that combine rule-based and AI approaches. Chatbots can be useful in many domains from customer service to healthcare but training requirements and response times vary significantly between rule-based and AI-powered chatbot types.
This document describes a healthcare chatbot that was developed to provide medical information and diagnoses to users. The chatbot uses natural language processing and machine learning to understand users' symptoms and concerns during a conversation. It can then provide diagnoses, treatment recommendations, and allow users to book appointments with doctors if needed. The chatbot was created using Python programming languages and libraries like Flask and works in multiple languages to be accessible to different users. Its goals are to give users accurate medical advice, help schedule appointments efficiently, and reduce contact with doctors when possible during the COVID-19 pandemic.
IRJET- Review of Chatbot System in Hindi LanguageIRJET Journal
This document discusses the design of a Hindi language chatbot system for question answering. The system has four main modules: 1) A chatbot module built using Python that handles user interactions and responses through pattern matching. 2) An optical character recognition (OCR) module using Tesseract that extracts text from images, PDFs, and other files. 3) A database of related data in Hindi that is used to answer user questions. 4) A system interface that allows users to input questions and receives responses from the chatbot in a dialogue box. The system aims to help users by answering their queries in Hindi and improving communication through a conversational interface.
Intelligent Library Assistant (ILA) Using Artificial Intelligence and Natural...IRJET Journal
The document describes a proposed intelligent library assistant chatbot called ILA that would use artificial intelligence and natural language processing to help students access university library resources virtually. ILA would allow students to explore library materials like books 24/7 without having to visit the physical library. The chatbot would be built using Python and integrated with Flask so it could be accessed from mobile devices and computers. The goal is to make library resources easily available to students anytime, anywhere through conversational interactions with the intelligent chatbot.
The days of simply engaging with a service through a keyboard are over. Users interact with systems more and more by using voice assistants and chatbots. A chatbot is a computer program that can chat with human’s using Artificial Intelligence in messaging platforms. Every time when the chatbot gets input from the user, it saves the input and response, which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increase. The ultimate goal of this project is to add a chatbot feature and API. This project will inquire into the advancement of Artificial Intelligence and Machine Learning technology that are being used to improve many services. Most importantly it will look at development of chatbots as a channel for information distribution. The program will select the closest matching response from the matching statement that matches the input utilizing WordNet, it then chooses the response from the known selection of statements for that response. This project aims to implement online chatbot system to assist users who access college website by using tools that expose Artificial Intelligence methods such as Natural Language Processing in allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods in order to be able to generate a response. There are various applications that are incorporating to a human appearance and intends to simulate human dialog, yet in most cases, knowledge of chatbot is stored in a database created by a human expert. Fredrick B Lyngdoh | Raghavendra R. "Chatbot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49799.pdf Paper URL: https://www.ijtsrd.com/computer-science/cognitive-science/49799/chatbot/fredrick-b-lyngdoh
IRJET - Chat-Bot Utilization for Health ConsultancyIRJET Journal
1) The document proposes a chatbot system for health consultancy that can provide appropriate responses and suggestions to patients anytime.
2) It discusses how chatbots are classified as rule-based or AI-based and how AI-based chatbots are preferred as they can be trained for different domains and have more human-like conversations.
3) The proposed health chatbot system would analyze patients' information and medical history to provide basic medication suggestions for minor illnesses and health tips.
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
IRJET - Chatbot for Monitoring Mental HealthIRJET Journal
This document discusses the development of a chatbot to monitor mental health. It begins by outlining the need for better mental healthcare in India given the shortage of professionals. It then discusses how chatbots using artificial intelligence could help address this issue by providing screening, support and monitoring of mental health. The proposed chatbot would use established scales like DASS to screen users, and could incorporate functions like emotion detection via webcam and speech recognition to further assess users. The chatbot would be developed using machine learning algorithms to have natural conversations and improve over time based on user inputs.
A Review Comparative Analysis On Various Chatbots DesignCourtney Esco
The document discusses various techniques used to design chatbots. It presents a survey of chatbot design techniques from nine research papers and compares the main methods used. The document categorizes chatbots into four types - goal-based, knowledge-based, service-based, and response-based. It also describes existing chatbots like Elizabeth bot, Microsoft LUIS, and Alicebot and discusses their approaches to natural language processing and response generation. The document aims to help researchers identify gaps for future chatbot development.
Chatbot for chattint getting requirments and analysis all the toolsSongs24
This document outlines a student chatbot project created by three students - Jaganarul, Akil Vamshi, and Jayamalan. The project aims to build an artificial intelligence chatbot using algorithms that can understand student queries and provide answers, simulating a human conversation. The proposed chatbot will use techniques like natural language processing, recurrent neural networks, and Markov models to classify intents and generate responses from a database. The document discusses the architecture, implementation details, and concludes the chatbot could enhance user engagement and automate customer support processes.
IRJET- An Intelligent Behaviour Shown by Chatbot System for Banking in Ve...IRJET Journal
This document describes a proposed intelligent chatbot system for providing banking information and services in vernacular languages. The proposed chatbot would be able to identify user context and intent to dynamically generate responses in both English and Hindi. It would allow users to ask banking questions and receive responses without needing to physically visit a bank. The system architecture involves users registering and logging in, with sessions created for each user. The chatbot would use the Porter stemming algorithm and identify user intent through natural language processing to accurately answer questions. Responses could be static predefined answers or dynamically generated by a webhook. The goal is to effectively communicate between users and the banking chatbot system across languages.
User stories collection via interactive chatbot to support requirements gathe...TELKOMNIKA JOURNAL
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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