Relevant bibliographies by topics / Rasa Chatbot

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Rasa Chatbot'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Rasa Chatbot"

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Sigdel, Yubraj, Sujan Shrestha, and Nabin Neupane. "College Chatbot Using RASA." KEC Journal of Science and Engineering 8, no. 1 (2024): 38–43. http://dx.doi.org/10.3126/kjse.v8i1.69263.

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The rapid advancement of Artificial Intelligence, Machine Learning, etc., has brought about significant changes in the technological sphere for decades. One such transformative technology is a Chatbot, a Conversational AI capable of addressing users’ queries. These chatbots are tailored to serve various objectives, one of which is to streamline tasks in education through automation. In line with this, a paper titled “College Chatbot Using RASA” has been written, which can effectively respond to questions based on college and other college-related information. The chatbot has been made accessib
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Harsh, Gori, Gori Karan, Patel Smit, and Shinde Pramila. "Healthcare Chatbot using RASA." Recent Trends in Information Technology and its Application 5, no. 1 (2022): 1–7. https://doi.org/10.5281/zenodo.6395568.

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<em>With the help of different chatbots, a person can communicate with text or even audio interface and get a quick reply from the chatbot through AI i.e., artificial intelligence and its subset called machine learning to get back a response that fits to the situation. The proposed chatbot will help build a bridge between the patients and the doctors. It will provide accurate information about the different diseases. This assistant will help predicting the diseases based on symptoms, locate the hospital in their vicinity, booking an appointment and much more. By asking a simple series of quest
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Sholahuddin, Muhammad Rizqi, and Firas Atqiya. "Sistem Tanya Jawab Konsultasi Shalat Berbasis RASA Natural Language Understanding (NLU)." Jurnal Pendidikan Multimedia (Edsence) 3, no. 2 (2021): 93–102. http://dx.doi.org/10.17509/edsence.v3i2.38732.

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A chatbot is an intelligent system that provides users with direct interaction with machines via written media. This paper describes how to use chatbots to ask questions about prayer procedures. A Muslim sometimes has questions about the procedure for praying when he finds a difference between the procedures performed by other Muslims. In this case, the use of chatbots is to provide an explanation. This chatbot was developed using a deep learning model, especially LSTM, that was integrated with the RASA framework. LSTM (Long Short Term Memory) can efficiently save some of the needed memory whi
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Anindyati, Laksmi. "Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra)." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 2 (2023): 291. http://dx.doi.org/10.25126/jtiik.20231026409.

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&lt;p&gt;Chatbot menjadi suatu kebutuhan bisnis yang membutuhkan pelayanan interaksi secara &lt;em&gt;real-time&lt;/em&gt; dan 24 jam. Kebutuhan tersebut juga diperlukan saat penerimaan mahasiswa baru di Politeknik Astra. Chatbot dapat menjadi salah satu penyedia informasi yang interaktif untuk calon mahasiswa Politeknik Astra, ketika mencari informasi terkait proses pendaftaran mahasiswa baru maupun terkait Politeknik Astra secara umum. Proses analisis dan perancangan sistem dilakukan, dimulai dengan studi literatur. Hasil dari studi literatur dipilihlah Framework RASA yang akan digunakan dal
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Anindyati, Laksmi. "Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra)." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 2 (2023): 291–300. https://doi.org/10.25126/jtiik.2023106409.

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Chatbot menjadi suatu kebutuhan bisnis yang membutuhkan pelayanan interaksi secara real-time dan 24 jam. Kebutuhan tersebut juga diperlukan saat penerimaan mahasiswa baru di Politeknik Astra. Chatbot dapat menjadi salah satu penyedia informasi yang interaktif untuk calon mahasiswa Politeknik Astra, ketika mencari informasi terkait proses pendaftaran mahasiswa baru maupun terkait Politeknik Astra secara umum. Proses analisis dan perancangan sistem dilakukan, dimulai dengan studi literatur. Hasil dari studi literatur dipilihlah Framework RASA yang akan digunakan dalam pengembangan chatbot. Frame
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Anindyati, Laksmi. "Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra)." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 2 (2023): 291–300. https://doi.org/10.25126/jtiik.20236409.

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Chatbot menjadi suatu kebutuhan bisnis yang membutuhkan pelayanan interaksi secara real-time dan 24 jam. Kebutuhan tersebut juga diperlukan saat penerimaan mahasiswa baru di Politeknik Astra. Chatbot dapat menjadi salah satu penyedia informasi yang interaktif untuk calon mahasiswa Politeknik Astra, ketika mencari informasi terkait proses pendaftaran mahasiswa baru maupun terkait Politeknik Astra secara umum. Proses analisis dan perancangan sistem dilakukan, dimulai dengan studi literatur. Hasil dari studi literatur dipilihlah Framework RASA yang akan digunakan dalam pengembangan chatbot. Frame
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Thota, Sowmya, Sai Keerthana Bongoni, Dr L. Chandrasekhar Reddy, and Parameswar M. "Smart Banking Chatbot." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2319–23. https://doi.org/10.22214/ijraset.2025.67801.

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Abstract: This paper provides the development and implementation of a smart banking chatbot designed to enhance the user experience by providing automated responses to customer inquiries. With the increasing digitalization of banking services, the need for quick and efficient customer support has become crucial. The chatbot, developed using the RASA framework, leverages Natural Language Processing (NLP) to understand user intents and execute predefined actions. It offers services such as checking account balances, making transactions, and addressing customer queries in real-time, reducing the
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Permadi, Iwan. "Criteria Selection and Comparative Analysis of Popular Chatbot Frameworks (Dialog flow, Microsoft Bot Framework, IBM Watson Assistant and Rasa) For Implementation in Libraries: a Systematic Literature Review." JPUA: Jurnal Perpustakaan Universitas Airlangga: Media Informasi dan Komunikasi Kepustakawanan 13, no. 2 (2023): 94–103. http://dx.doi.org/10.20473/jpua.v13i2.2023.94-103.

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ABSTRACT Chatbots are increasingly popular in various fields, including in libraries, to improve services and interactions with users. In choosing a chatbot for libraries, proper criteria are needed. Some common chatbot frameworks are Dialogflow, Microsoft Bot Framework, IBM Watson Assistant, and Rasa, which have advantages and disadvantages in the library context. This research conducts a systematic literature review on the selection criteria and comparison of popular chatbot frameworks such as Dialogflow, Microsoft Bot Framework, IBM Watson Assistant, and Rasa in library implementation. The
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R., Sarada, Keerthana Budigina, Meghana Gunnada, Swetha Kolipakula, and Satya Padmaja Borra. "Hyderabad City Chatbot Using Rasa." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 1 (2025): 2012–21. https://doi.org/10.5281/zenodo.14836675.

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This article explores creating and deploying an intelligent conversational chatbot designed to offer detailed and user-centric insights about various aspects of Hyderabad city. The chatbot is a comprehensive resource for users looking for information on tourist attractions, popular restaurants, educational institutions, accommodations, and real-time weather updates. Utilizing the open-source machine learning framework Rasa, the chatbot leverages advanced AI techniques to provide a smooth user experience by addressing a wide range of informational needs in a personalized and efficient way. With
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Abhijith, Suni, Sumukh Varma Amartya, Kakkar Kunal, and Neha Agarwal Dr. "Conversational Chat-Bot Application." International Journal of Advanced And Applied Sciences 1, no. 2 (2023): 132–39. https://doi.org/10.5281/zenodo.7963827.

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In today&rsquo;s world anxiety, depression, loneliness is increasing day by day due to less interaction with outside world and everyday amount of time people going to spend on smart technology device is increasing day by day. The objective of paper is show-case the design and implementation of a conversational chatbot which we have developed. This chatbot provides various features for the user such as providing a conversational feature. The utilization of chatbots advanced quickly in various fields lately, including Schooling, Medical services, Social Legacy, and Amusement. In this paper, we f
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Dissertations / Theses on the topic "Rasa Chatbot"

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Ganrot, William, and Paul Johansson. "Att utveckla en chattbot med Rasa." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78088.

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Världen blir alltmer digitaliserad och i med det, utvecklas nya metoder för att kunna underlätta arbetet för oss människor med automatiserade system som bland annatkontrolleras av AI (artificiell intelligens). Nya utmaningar står inför dörren för att fåsamhällen att anpassa sig till den nya framtiden. En av dessa metoder är chattbottar sommed hjälp av AI kan automatisera en stor del av det manuella arbetet.Denna uppsats bygger på ett projekt som vi blev tilldelade av CGI, att utvecklaen chattbot som en demoprodukt. Syftet med demoprodukten är att ge CGI möjlighetatt visa för kunder vad en chat
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Jakúbek, Tomáš. "Chatbot k aplikácii MojiLidi." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-429093.

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This diploma thesis deals with building a chatbot for the MojiLidi system, which helps to find specialists and companies providing their services and products. Chatbot is a type of interface that is controlled by a natural language conversation. Thus, users do not need to know the meaning of buttons or forms and for them it is enough just to say request. The work describes the main parts of chatbot such as understanding the natural language, managing the dialogue, creating responses, communication channel and the conversational user interface. Consequently, such a conversation agent is created
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Books on the topic "Rasa Chatbot"

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Wang, Guan, Xiaoquan Kong, and Alan Nichol. Conversational AI with Rasa: Build, Test, and Deploy AI-Powered, Enterprise-grade Virtual Assistants and Chatbots. Packt Publishing, Limited, 2021.

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Book chapters on the topic "Rasa Chatbot"

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Singh, Abhishek, Karthik Ramasubramanian, and Shrey Shivam. "Introduction to Microsoft Bot, RASA, and Google Dialogflow." In Building an Enterprise Chatbot. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5034-1_7.

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Kumari, Vijay, Chinmay Gosavi, Yashvardhan Sharma, and Lavika Goel. "Domain-Specific Chatbot Development Using the Deep Learning-Based RASA Framework." In Communication and Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2130-8_69.

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Leito, Roderick, Armel Lefebvre, Bram van Dijk, and Marco Spruit. "A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250518.

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This paper investigates the development and evaluation of a chatbot for administering the EQ5D questionnaire with a focus on improving user experience and ease of completion. To achieve this, the chatbot employs an open-source conversational AI environment named RASA. The primary objective was to develop a system that leads users through the EQ5D questionnaire in a natural and unobtrusive way, while accurately assessing their current health status and maintaining a supportive interaction. The reason is that the new CALM framework within RASA integrates RASA with the successful LLM approach to
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Joghee, Shanmugan, Swamynathan Ramakrishnan, Sajal Kabiraj, and Haitham Alzoubi. "Enhancing Customer Experiences With Service Robots." In Improving Service Quality and Customer Engagement With Marketing Intelligence. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6813-8.ch002.

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Due to the 4th Industrial Revolution, Artificial Intelligence and other internet technologies such as RAISA (Robots, Artificial Intelligence, and Service Automation) have been adopted in various industries, including the hospitality and tourism industry. As the industry traditionally offers services through a manual labor force, more companies adopt RAISA through a commercial service in the form of chatbots, delivery robots, robot concierge, conveyor restaurants, self-service information/check-in/check-out kiosks, and many others. This book chapter explores the dynamic interplay between consum
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Conference papers on the topic "Rasa Chatbot"

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Prem, Daniel, Babita Prem, and M. Roshni Thanka. "Library Book Recommendation Chatbot Using Rasa NLU." In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). IEEE, 2024. http://dx.doi.org/10.1109/icstsn61422.2024.10670857.

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Kale, Varun, Khumarya Rana, Aayush Wade, Krish Patel, and Ajay Sirsat. "Conversational Chatbot with RASA for Educational Facilitation." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883243.

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Nguyen, Truc, Vu Tran, Ninh Nguyen, Trinh Huynh, and Dung Dinh. "Chatbot for E-Commerce Service Based on Rasa Framework and BERT Model." In 2024 16th International Conference on Knowledge and System Engineering (KSE). IEEE, 2024. https://doi.org/10.1109/kse63888.2024.11063477.

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Gharbaoui, M., and P. Castoldi. "Integrating RASA Chatbot with an Intent Layer for SDN-Based Network Slice Provisioning." In 2024 15th International Conference on Network of the Future (NoF). IEEE, 2024. http://dx.doi.org/10.1109/nof62948.2024.10741478.

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Saputro, Robby Febrian, and Helmi Imaduddin. "Chatbot Implementation for Automating Services at University Library of Muhammadiyah Surakarta with RASA Framework." In 2025 International Conference on Smart Computing, IoT and Machine Learning (SIML). IEEE, 2025. https://doi.org/10.1109/siml65326.2025.11080932.

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S, Dharshini, Samson Arun Raj A, and Venkatesan R. "MindMate: AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support with Rasa and Streamlit." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985281.

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Gonçalves, Fabiane Costa, Fernando Luíz Fernandes Mendes, Denise de Mello Bobany, Juan Benito Campos Diz Atan, Rômulo Tracta Lamenza, and Síria da Fonseca Jorge. "TRATAMENTO DE NEOPLASIA EM CALOTA CRANIANA DE CÃO (CANIS FAMILIARIS) COM RECONSTRUÇÃO EM MALHA DE TITÂNIO – RELATO DE CASO." In XXXIII Jornada Científica da Medicina Veterinária. Even3, 2025. https://doi.org/10.29327/1505793.33-56.

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Dentre as neoplasias ósseas na clínica de pequenos animais, o Tumor Ósseo Multilobular (TOM) é raro em cães, e ainda menos frequente em outras espécies. Apresenta predisposição aos ossos do crânio de cães de porte médio a grande, com idade média de 8 anos, sem influência de raça ou sexo. O TOM pode apresentar comportamento benigno ou maligno, acomete principalmente os ossos chatos, como crânio, pelve e costelas, com potencial recidivante e infiltrativo. Os sinais clínicos observados estão relacionados à compressão de estruturas adjacentes, localização e a agressividade do tumor. Seu diagnóstic
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Gupta, Vaishali, Advitiya Sood, and Tanya Singh. "Disease Detection Using RASA Chatbot." In 2022 International Mobile and Embedded Technology Conference (MECON). IEEE, 2022. http://dx.doi.org/10.1109/mecon53876.2022.9752338.

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Meshram, Siddhant, Namit Naik, Megha VR, Tanmay More, and Shubhangi Kharche. "College Enquiry Chatbot using Rasa Framework." In 2021 Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2021. http://dx.doi.org/10.1109/asiancon51346.2021.9544650.

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Meshram, Siddhant, Namit Naik, Megha VR, Tanmay More, and Shubhangi Kharche. "College Enquiry Chatbot using Rasa Framework." In 2021 Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2021. http://dx.doi.org/10.1109/asiancon51346.2021.9544650.

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