Chatbot Using Artificial Intelligence

DOI : 10.17577/IJERTCONV11IS03016

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Chatbot Using Artificial Intelligence


Department Of Computer Science And Engineering, Batch: 2019-2013 Dhanalakshmi Srinivasan College Of Engineering Coimbatore, Tamil Nadu, India , ,

Abstract – Chatbots are conversational AIs, which mimics the human while conversing. This technology is a combination of AI & Natural Language Processing (NLP). Chatbots have been a part of technological advancement as it eliminates the need of human & automates boring tasks. Chatbots are used in various domains like education, healthcare, business, etc. In the study undertaken, we reviewed several papers & discussed types of chatbots, their advantages & disadvantages. The review suggested that chatbots can be used everywhere because of its accuracy, lack of dependability on human resources & 24×7 accessibility.


    Chatbot is capable of generating natural language responses to a wide range of prompts and questions, and has been trained on a massive dataset of text to ensure that its responses are grammatically correct and semantically meaningful.

    It is a powerful tool for researchers and educators, as it can generate text in response to prompts and questions, which can help to further knowledge in various fields.

    Chatbot is not perfect and may generate biased or inaccurate responses .It may not fully understand the nuances of human language and culture .However, Chatbot is a significant breakthrough in natural language processing .It has the potential to revolutionize the way we communicate with machines.


    Chatbots are computer programs designed to simulate conversation with human users. They have become increasingly popular in recent years, with many businesses using them as a way to provide customer service and support. As a result, there has been a significant amount of research on chatbots and their effectiveness.

    One study by Accenture found that 80% of businesses plan to use chatbots by 2020, and that chatbots could save businesses up to $8 billion per year by 2022. Another study by Grand View

    Research estimated that the global chatbot market size would reach $9.4 billion by 2024.

    Research has also been conducted on the effectiveness of chatbots in various domains. For example, a study by IBM found that a chatbot designed to provide financial advice was able to accurately answer 71% of user questions. Another study by Juniper Research found that chatbots could help businesses save up to 70% on customer service costs.

    However, there are also challenges associated with chatbots. One major challenge is ensuring that they are able to understand and respond appropriately to user input, which requires advanced natural language processing algorithms. Another challenge is ensuring that chatbots are designed in a way that is user-friendly and easy to use, as poorly designed chatbots can lead to user frustration and a negative experience.

    Overall, the literature on chatbots highlights their potential to revolutionize the way businesses provide customer service and support, but also underscores the importance of ensuring that they are designed in a way that is effective and user-friendly.


    As technology continues to advance, people are increasingly relying on digital solutions to perform various tasks. However, the availability of various applications and services can lead to a fragmented user experience, which can be time-consuming and frustrating. Additionally, many applications and services have limited functionality, making it difficult for users to perform complex tasks efficiently.

    However, many Chatbot are not user-friendly, making it difficult for users to interact with them. Additionally, many Chatbot have lack the ability to understand and respond to user queries in a conversational manner, leading to a disjointed user experience. Therefore, the problem of this project aims to solve is to provide a user-friendly Chatbot platform that can understand and respond to user

    queries in a conversational manner. The platform will be powered by the latest AI The platform's design and implementation will focus on improving user experience and productivity by providing a seamless and natural user experience.

    The development of a Chatbot with applications of AI that can address these issues can provide significant benefits to users, including enhanced productivity, improved user experience, and reduced cognitive load. Additionally, the platform can pave the way for the development of more advanced and sophisticated solutions that can improve people's lives.


    The platform was built using web technologies, including HTML, CSS, JavaScript, and Node.js. The AI applications were built using various libraries and frameworks, such as deep learning techniques such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), natural language processing, and the transformer architecture.

    The platform was designed to be user-friendly and intuitive, with a simple interface that enables users to Chat and find their solution to a wide range of user inputs.


    Currently, there are several AI Chatbot are available in the market such as , Dialogflow ,IBM Watson Assistant, Amazon Lex , Microsoft Bot .Each with their own strengths and limitations. The choice of which system to use depends on factors such as the specific use case, the desired level of customization, and the available resources and expertise. As a result, users have to switch between multiple applications to accomplish their tasks, leading to a fragmented user experience and reduced productivity.


    Chatbot is a cutting-edge language model that can generate natural language responses to user inputs. Chatbot can also be customized for specific tasks or domains, making it highly adaptable to new situations. This allows it to create contextually appropriate and coherent responses to user inputs, even in complex conversations.

    Chatbot is also based on the transformer architecture, which enables it to understand complex language structures and relationships between words. This makes it highly effective for natural language processing tasks such as language modeling, question answering, and text generation.

    Overall, Chatbot is an exciting development in the field of natural language processing and has many potential applications, from chatbots and virtual assistants to language translation and text summarization.


    Chatbot offers several ADVANTAGES, including:

    • 24/7 availability: Chatbots can provide 24/7 availability to customers, allowing them to access information and support at any time, without the need for human intervention.

    • Increased efficiency: Chatbots can handle multiple conversations simultaneously, reducing the workload for customer service representatives and improving response times.

    • Cost-effective: Implementing a chatbot can be more cost-effective than hiring and training additional staff to handle customer inquiries.

    • Personalization: Chatbots can be programmed to provide personalized recommendations and responses based on user data and preferences.

      Chatbot has a few potential disadvantages,


    • Lack of empathy: Chatbots lack the ability to provide emotional support or empathy, which can be important in certain customer service interactions.

    • Technical limitations: Chatbots may be limited by technical constraints such as the ability to understand natural language, which can impact their effectiveness in certain situations.

    • Integration challenges: Integrating chatbots with existing systems and technologies can be a complex and time-consuming process, requiring significant technical expertise.

    • Security concerns: Chatbots may be vulnerable to security breaches and data privacy concerns, especially when handling sensitive customer information


    The future scope of chatbots is vast and there are several potential areas for growth and development:

    1. Increased personalization: In the future, chatbots may offer personalized recommendations and support based on user data and behaviour.

    2. Integration with IoT devices: Chatbots may integrate with IoT devices to provide personalized support and recommendations based on data from connected devices.

    3. Advanced natural language processing : This development may allow chatbots to understand and respond to complex requests and questions, improving customer interactions.

    4. Expansion into new industries: Chatbots are already used in healthcare, finance, and e-commerce, and may expand into industries like education, transportation, and hospitality.

    Overall, the future of chatbots is likely to involve increased personalization, more advanced natural language processing, and expanded integration with other technologies and industries.


    Chatbot is a large language model trained based on the GPT-3.5 architecture. It is capable of generating human-like responses to a wide variety of queries and prompts, ranging from trivia questions and math problems to personal advice and creative writing. Its advanced natural language processing algorithms allow it to understand and respond to complex queries with a high degree of accuracy, making it a valuable tool for both personal and professional use. Its ability to learn from large datasets of text also enables it to adapt to new information and language trends over time.

    Its ability to understand natural language queries and provide relevant information or assistance can help companies improve their customer satisfaction and retention rates. Additionally, Chatbot can be used to generate automated responses to common queries, freeing up human support staff to handle more

    complex or specialized requests. Overall, Chatbot has the potential to revolutionize the way that companies and individuals interact with technology and each other, making communication faster, more efficient, and more enjoyable.


    Chatbot, represents a significant advancement in natural language processing and artificial intelligence. Its ability to generate human-like responses to a wide range of queries and prompts has numerous potential applications, from customer service and support to creative writing and personal assistance. As the technology continues to evolve and improve, we can expect Chatbot and other similar language models to play an increasingly important role in our lives, transforming the way we interact with technology and each other. However, it is also important to consider the ethical implications of such technology, including issues related to privacy, bias, and the potential impact on human employment. With thoughtful consideration and responsible use, Chatbot and other language models have the potential to bring significant benefits to society, improving communication, efficiency, and accessibility for all.


We are deeply grateful to all those who have contributed to the successful completion of the Chatbot project. First and foremost, we would like to thank almighty for showering the blessings throughout our life. We take the privilege to express hearty thanks to our parents for their valuable support and effort to complete this project.

We take this chance to express our deep sense of gratitude to our management, our beloved principal Dr. C. Jegadheesan ME., PhD and our vice principal Dr. G. Saranraj ME., PhD for providing an excellent infrastructure and support to pursue project work at our college.

We express our profound thanks to our beloved Head of the Department Dr. B. Rajesh Kumar ME., PhD for his able administrator and keen interest, which motivated us along the course.

We also extend our thanks to Mrs. SRUTHI, Assistant professor of Computer Science and Engineering Department, for her valuable guidance at each and every stage of the project, which helped a lot in the successful completion of the project. We

are very much grateful to all our teaching and non- teaching staffs and our friends who helped us to complete the project.

We thank everyone who contributed to the project's completion. Our work aims to make a significant contribution to the field of AI. We hope our work will assist users in their daily lives.


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[3] Li, X., et al. (2019). Survey on Deep Learning for Chatbot. Journal of Computational Science, 36, 100-113.

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[5] Radziwill, N. M., & Benton, M. C. (2019). Evaluating chatbots and intelligent conversational agents. Journal of Intelligent Information Systems, 52(3), 445-460.