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Journal articles on the topic 'Rasa Chatbot'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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<p>Chatbot menjadi suatu kebutuhan bisnis yang membutuhkan pelayanan interaksi secara <em>real-time</em> 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’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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Linus, Kevin Destiny, Samson Isaac, and Amina Bala Ja'afaru. "An Improved Conversational Chatbot Marketing System Case on FedEx." Kasu Journal of Computer Science 1, no. 2 (2024): 316–39. http://dx.doi.org/10.47514/kjcs/2024.1.2.0012.

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This paper presents an innovative approach to enhancing conversational chatbot marketing systems. In a digital world, customer engagement and service personalization are paramount, and chatbots play a crucial role in this transformation. Fast forwarding to today's digital fast-paced landscape, enhancing customer interaction and service efficiency using chatbots is paramount for global logistics and courier delivery servicing companies like Federal Express FedEx. This study presents the development and integration of an improved conversational chatbot marketing system using the Rasa architectur

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PAUSTYANOV, V. D., and N. A. MOISEEVA. "DEVELOPMENT OF AN INTELLIGENT CHATBOT FOR A LIBRARY BASED ON THE RASA FRAMEWORK." Applied Mathematics and Fundamental Informatics 11, no. 4 (2024): 26–34. https://doi.org/10.25206/2311-4908-2024-11-4-26-34.

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Intelligent chatbots are an excellent addition to the information platforms of institutions focused on interacting with people in the context of the digital transformation of the social sphere of society. In accordance with this trend, various libraries are introducing chatbots into their technological sphere in order to provide better library and information services to visitors, optimize the time and labor costs of library staff. The article explores the possibilities of chatbot technology and their application in the library. It is described RASA tools in the field of natural language proce

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H V, Supreetha, and Dr Sandhya S. "Implementation of an Educational Chatbot using Rasa Framework." International Journal of Innovative Technology and Exploring Engineering 11, no. 9 (2022): 29–35. http://dx.doi.org/10.35940/ijitee.g9189.0811922.

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The growth in Artificial Intelligence (AI), Big-data,and Internet-of-Things (IOT) technologies has increased chabot’s application in many areas. Some of the applications of chatbot can be seen in areas such as social media, e-commerce, healthcare, stock market, education, banking sector etc. Most of the high-end chatbots are deployed inside e-commerce, banking and health websites. There is a need to deploy the chatbots in educational website to improve interactivity of the educational platforms. The main target users of this website is rural students. In rural areas, probability of students dr

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Supreetha, H. V., and Sandhya S. Dr. "Implementation of an Educational Chatbot using Rasa Framework." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 9 (2022): 29–35. https://doi.org/10.35940/ijitee.G9189.0811922.

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<strong>Abstract</strong>: The growth in Artificial Intelligence (AI), Big-data, and Internet-of-Things (IOT) technologies has increased chabot’s application in many areas. Some of the applications of chatbot can be seen in areas such as social media, e-commerce, healthcare, stock market, education, banking sector etc. Most of the high-end chatbots are deployed inside e-commerce, banking and health websites. There is a need to deploy the chatbots in educational website to improve interactivity of the educational platforms. The main target users of this website is rural students. In rural

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Syach, Muhammad Alfian, and Budi Hartono. "Implementasi Chatbot Telegram Interaktif sebagai Asisten Virtual dalam Jual Beli Busana Menggunakan Framework RASA." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 9, no. 3 (2025): 935–43. https://doi.org/10.35870/jtik.v9i3.3652.

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Pada era digital saat ini, pemanfaatan teknologi di berbagai bidang kehidupan seperti bidang ekonomi dan komersial menjadi semakin penting. Dengan berkembangnya teknologi yang semakin maju dapat memberikan kemudahan dan efisiensi waktu dalam memperluas cakupan pasar. Penggunaan chatbots sebagai teknologi informasi meningkat pesat dalam beberapa tahun terakhir dan menjadi semakin populer. Chatbot adalah program komputer yang dirancang untuk mensimulasikan percakapan dengan pengguna manusia melalui internet. Implementasi chatbot Telegram dapat membantu menyederhanakan komunikasi antara penjual d

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Widiyanti, Regina Elsa, and Heribertus Yulianton. "Implementasi Chatbot Rekomendasi Kuliner Kota Semarang Dengan Framework RASA." INTECOMS: Journal of Information Technology and Computer Science 7, no. 4 (2024): 1333–40. http://dx.doi.org/10.31539/intecoms.v7i4.8819.

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Penelitian ini bertujuan untuk mengimplementasikan chatbot rekomendasi kuliner kota Semarang menggunakan framework Rasa. Chatbot ini dirancang untuk memberikan rekomendasi tempat makan berdasarkan preferensi pengguna, memungkinkan mereka menikmati pengalaman kuliner yang lebih baik di kota Semarang. Metode implementasi chatbot ini dimulai dengan pemilihan dan penyesuaian framework Rasa, sebuah framework open source yang dirancang khusus untuk pengembangan chatbot dengan menggunakan machine learning. Framework ini memberikan fleksibilitas dan kontrol yang tinggi dalam mengembangkan sistem chatb

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Bagchi, Mayukh. "Conceptualising a Library Chatbot using Open Source Conversational Artificial Intelligence." DESIDOC Journal of Library & Information Technology 40, no. 06 (2020): 329–33. http://dx.doi.org/10.14429/djlit.40.06.15611.

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Conversational software, or chatbots in popular parlance, has been in vogue amongst organizations for a few decades now. In sync with the trend, various libraries and knowledge resource centres have also adopted them within their technological fold, with an aim to provide improved services to patrons. The only bottleneck towards such implementation has been the dearth of open source conversational software platforms. The purpose of the paper is to conceptualize a library chatbot using a recently developed, artificial intelligence-powered open source conversational software platform named Rasa

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G, Vidya, Nagaraj Krishna Vernekar, and Ganraj Kelkar. "Comparative Study on Chatbot Frameworks." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 3602–10. http://dx.doi.org/10.22214/ijraset.2023.54323.

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Abstract: Chatbots are gaining popularity in different sectors of our day-to-day life from virtual assistants on our mobile devices, and on different social media platforms to customer service agents on different websites, organizations, and institutes. Due to the popularity of chatbots there exist multiple ’frameworks’ of varying characteristics for developing Chatbots. Hence, selecting the right ’framework’ for chatbot development is a problem, and the outcome of a study to better understand these frameworks can mitigate that problem to some extent. Studying every intricate detail of all of

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Gujjar, J. Praveen, and H. R. Prasanna Kumar. "Agri Friendly Conversational AI Chatbot Using Open Source Framework." Indian Journal Of Science And Technology 18, no. 8 (2025): 580–85. https://doi.org/10.17485/ijst/v18i8.15.

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Objectives: To develop an agriculturally focused conversational AI chatbot using the Rasa Open Source framework and to create a user-friendly interface tailored to the needs of the farming community. The chatbot aims to provide accessible and cost-effective solutions by offering real-time assistance, information, and support to farmers. Method: The methodology involves leveraging Rasa’s advanced natural language understanding (NLU) capabilities to enable accurate intent recognition and entity extraction. Agricultural data, including FAQs, crop details, pest control methods, and weather informa

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Elsayed, Aya Allah, Ahmed Ibrahem Hafez, Raquel Ceprián, et al. "Practical Design and Implementation of Virtual Chatbot Assistants for Bioinformatics Based on a NLU Open Framework." Big Data and Cognitive Computing 8, no. 11 (2024): 163. http://dx.doi.org/10.3390/bdcc8110163.

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In this work, we describe the implementation of an infrastructure of conversational chatbots by using natural language processing and training within the Rasa framework. We use this infrastructure to create a chatbot assistant for the users of a bioinformatics suite. This suite provides a customized interface solution for omic pipelines and workflows, and it is named GPRO. The infrastructure has also been used to build another chatbot for a Laboratory Information Management System (LIMS). The two chatbots (namely, Genie and Abu) have been built on an open framework that uses natural language u

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Annas, Azwar, and Setyawan Wibisono. "Implementasi Chatbot Menggunakan Framework Rasa Untuk Layanan Informasi Objek Wisata Di Kabupaten Pemalang." INTECOMS: Journal of Information Technology and Computer Science 7, no. 1 (2024): 123–29. http://dx.doi.org/10.31539/intecoms.v7i1.8425.

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Penelitian ini bertujuan untuk mengimplementasi chatbot menggunakan Framework Rasa sebagai solusi layanan informasi objek wisata di Kabupaten Pemalang. Dalam era digital saat ini, chatbot telah menjadi alat yang semakin penting dalam meningkatkan akses pengguna terhadap informasi dengan cara yang efisien dan cepat. Pada tahap implementasi, chatbot diintegrasikan dengan sumber daya informasi objek wisata, sehingga pengguna dapat dengan mudah mengajukan pertanyaan, meminta rekomendasi, atau mencari informasi yang mereka butuhkan. Framework Rasa digunakan untuk mengembangkan logika percakapan dan

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Qalimaturrahmah, Maulida, and Dwi Budi Santoso. "Aplikasi Layanan dan Informasi Akademik Berbasis Chatbot Telegram Menggunakan Natural Language Processing." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 8, no. 2 (2024): 434–43. http://dx.doi.org/10.35870/jtik.v8i2.1887.

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Dalam era digital, kemajuan teknologi merubah berbagai aspek kehidupan. Salah satu kemajuan teknologi yang signifikan adalah teknologi Chatbot. Pada dunia Pendidikan tinggi, permasalahan yang sering dialami mahasiswa saat ini adalah kurangnya literasi terhadap informasi penting yang tersedia di website fakultas, karena tidak semua mahasiswa selalu mengakses website. Dengan teknologi Chatbot berbasis Natural Language Processing menggunakan framework Rasa yang diintegrasikan dalam platform telegram, akan memudahkan mahasiswa mendapatkan informasi lebih cepat dan efisien. Metode pembuatan Chatbot

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Emmanuel Oyerinde, Samuel Abel, Emmanuel Mgbeahuruike, et al. "Implementation of an AI-powered FAQ chatbot using the deep-learning rasa framework." Global Journal of Engineering and Technology Advances 23, no. 3 (2025): 271–84. https://doi.org/10.30574/gjeta.2025.23.3.0193.

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Artificial Intelligence (AI) has become more prevalent in our day-to-day activities, as it saves human time and reduces human workload. A lot of students are clueless and know nothing about some concepts of information pertaining to their study period at Babcock University. When most go to the officials for information, it is likely the officials are in one meeting or the other, a long queue is present and many more situations emerge, which then lead to delays in the access of the required information. The aim of this project is to implement an AI-Powered FAQ chatbot using the deep-learning Ra

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Resika Arthana, I. Ketut, Luh Joni Erawati Dewi, Ketut Agus Seputra, and Ni Wayan Marti. "UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK." JST (Jurnal Sains dan Teknologi) 10, no. 2 (2021): 264–73. http://dx.doi.org/10.23887/jst-undiksha.v10i2.39863.

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Nowadays, the implementation of chatbots in information systems is getting popular to increase user experience. In our previous research, we developed Undiksha Virtual Assistant (Shavira). Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. The challenge on the existing Shavira system is that the users must open a website and type queries to get a list of answers. The text query must match with the keyword in systems. To address this problem and to avoid cognitive load, in this research we implement

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Resika Arthana, I. Ketut, Luh Joni Erawati Dewi, Ketut Agus Seputra, and Ni Wayan Marti. "UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK." JST (Jurnal Sains dan Teknologi) 10, no. 2 (2021): 264–73. http://dx.doi.org/10.23887/jstundiksha.v10i2.39863.

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Nowadays, the implementation of chatbots in information systems is getting popular to increase user experience. In our previous research, we developed Undiksha Virtual Assistant (Shavira). Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. The challenge on the existing Shavira system is that the users must open a website and type queries to get a list of answers. The text query must match with the keyword in systems. To address this problem and to avoid cognitive load, in this research we implement

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Sasmita, Wirat Moko Hadi, Surya Sumpeno, and Reza Fuad Rachmadi. "Improving Government Helpdesk Service With an AI-Powered Chatbot Built on the Rasa Framework." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 9, no. 2 (2025): 393–403. https://doi.org/10.29207/resti.v9i2.6293.

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Helpdesk services are an important component in supporting Information Technology (IT) services. The helpdesk operates as the initial interface for managing and resolving concerns. Helpdesk helps user to get solutions when facing problems while using an IT service. This research focuses on the impact of artificial intelligence (AI)-powered chatbots on the performance of the initial response of government helpdesk services. The chatbot is designed to improve service performance by quickly identifying and classifying reported issues and automatically responding to messages, enabling faster respo

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Setyono, Setyono, and Setyawan Wibisono. "Pengembangan Chatbot Menggunakan Framework Rasa Dalam Optimalisasi Pelayanan Di Kecamatan Semarang Tengah." INTECOMS: Journal of Information Technology and Computer Science 7, no. 5 (2024): 1455–61. http://dx.doi.org/10.31539/intecoms.v7i5.11313.

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Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan chatbot menggunakan framework RASA dalam optimalisasi pelayanan di Kecamatan Semarang Tengah. Chatbot dirancang untuk memfasilitasi interaksi antara masyarakat dan layanan publik dengan lebih efisien melalui aplikasi yang intuitif. Metode pengembangan meliputi analisis kebutuhan, desain sistem berbasis arsitektur mikro, dan penggunaan teknologi terkini dalam pemrograman chatbot. Hasil penelitian menunjukkan bahwa implementasi chatbot berhasil meningkatkan efisiensi pelayanan dengan mempercepat respon terhadap pertanyaan masya

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Bhutada, Dr Sunil, C. Rakshit, G. Vaishnavi, and V. Varshitha. "Chatra Paryesana (Student Enquiry System)." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 670–74. http://dx.doi.org/10.22214/ijraset.2023.53722.

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Abstract: In today's technological era, chatbots not only mimic human conversation but can also perform sophisticated jobs like purchasing theatre tickets. RASA is a free and open-source programme that may be used to run various versions of the NLU and DIET models. It has the capacity for natural language processing, reinforcement learning, and API/database integration. nervous system. This project incorporates a number of rasa's fundamental principles to allow for user interaction in its execution of tasks. Using the Rasa platform, we developed a chatbot specifically for universities. You can

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Bhutada, Sunil, C. Rakshit, G. Vaishnavi, and V. Varshitha. "Chatra Paryesana: A Student Enquiry System." Asian Journal of Electrical Sciences 12, no. 1 (2023): 10–13. http://dx.doi.org/10.51983/ajes-2023.12.1.3659.

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In today’s technological era, chatbots not only mimic human conversation but can also perform sophisticated jobs like purchasing theatre tickets. RASA is a free and open-source programme that may be used to run various versions of the NLU and DIET models. It has the capacity for natural language processing, reinforcement learning, and API/database integration. nervous system. This project incorporates a number of rasa’s fundamental principles to allow for user interaction in its execution of tasks. Using the Rasa platform, we developed a chatbot specifically for universities. You can use this

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Fakhri and Kristiawan Nugroho. "Sistem Rekomendasi Wisata di Pekalongan melalui Chatbot dengan Framework Rasa." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 9, no. 1 (2024): 68–77. http://dx.doi.org/10.35870/jtik.v9i1.3000.

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Pekalongan, kota batik yang kaya akan keindahan budaya dan alam, memiliki potensi besar dalam sektor pariwisata. Namun, kurangnya akses informasi yang terpadu dan mudah diakses menghambat wisatawan dalam merancang perjalanan mereka. Chatbot Telegram berbasis Rasa hadir sebagai solusi inovatif untuk mengatasi masalah ini. Melalui interaksi chatbot, wisatawan dapat memperoleh rekomendasi destinasi wisata, akomodasi, kuliner, serta informasi relevan lainnya yang disesuaikan dengan preferensi mereka. Sistem ini memanfaatkan kemampuan Natural Language Understanding (NLU) dari Rasa untuk memahami ma

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Avishka, Pasan, Nirubikaa Ravikumar, Kuhaneswaran Banujan, and Hansi Gunasinghe. "Towards a More Intuitive Sinhala Chatbot: Leveraging NLU for Enhanced Intent Identification and Entity Extraction." Sabaragamuwa University Journal 19, no. 2 (2023): 46–63. http://dx.doi.org/10.4038/suslj.v19i2.7792.

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In the fast-paced and ever-changing world of conversational AI, chatbots have become essential interfaces for user interactions in various domains, especially when supporting different languages. This study delves into the development of chatbots and their ability to understand language, explicitly focusing on the Sinhala language. The effectiveness of two platforms, Rasa NLU and Microsoft LUIS, were compared in identifying and extracting intents. Both platforms showed proficiency, but Rasa stood out for its flexibility, cost-effectiveness and accurate intent recognition. A case study in the r

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ADARSH H J, Bhaskar Reddy P.V, Suhasini S Hosamani, Sharat S K, and Pavana Shivaram. "Health Care Chatbot Assistant System." Journal of Advanced Zoology 44, S6 (2023): 998–1003. http://dx.doi.org/10.17762/jaz.v44is6.2335.

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Rasa stack consists of many open source AI apparatuses solely utilized in plan to make a logical chatbot. It consists of incredible APIs embedded along the Rasa stack that incorporates Natural language understanding. It incorporates the sack of words calculation helping in streamlining portrayl utilized in measurable displaying and AI stages and furthermore trend setting innovation. The proposed framework is to make an option in contrast to this ordinary strategy for visiting a clinic and making a meeting with a specialist to get analysis. From the user queries chatbot will, predicts the infec

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J, Praveen Gujjar, and R. Prasanna Kumar H. "Agri Friendly Conversational AI Chatbot Using Open Source Framework." Indian Journal of Science and Technology 18, no. 8 (2025): 580–85. https://doi.org/10.17485/IJST/v18i8.15.

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<strong>Objectives:</strong> To develop an agriculturally focused conversational AI chatbot using the Rasa Open Source framework and to create a user-friendly interface tailored to the needs of the farming community. The chatbot aims to provide accessible and cost-effective solutions by offering real-time assistance, information, and support to farmers. <strong>Method:</strong> The methodology involves leveraging Rasa’s advanced natural language understanding (NLU) capabilities to enable accurate intent recognition and entity extraction. Agricultural data, including FAQs,

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Bhakti, Prabandyo Wicaksono, and Zahra Amalia. "Design of the use of chatbot as a virtual assistant in banking services in Indonesia." International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (2022): 23–33. https://doi.org/10.11591/ijai.v11.i1.pp23-33.

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A chatbot is a computer program designed to simulate an interactive communication to user (human) via text, audio, or video. Currently several banks in Indonesia have adopted chat technology in customer service. The application of artificial intelligence in customer service aims to prepare banks for the challenges of industry banking 4.0. In addition, it is also to solve problems currently faced by customer service. Implementing chatbot platform in banking in Indonesia is not just plug and play, although there are quite a lot of chatbot platforms available, including Rasa Platform, Botika Plat

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Fattepurkar, Prof Gopika, Prathamesh Govekar, Niranjan Khude, Aniket Pore, and Gunjan Gandhi. "A Review on Chatur: Chatbot for College." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 481–86. https://doi.org/10.22214/ijraset.2025.68302.

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Abstract: In today’s fast-paced college environment, students and faculty require timely access to accurate information on a variety of topics, such as admissions, course details, fees, and campus facilities. Traditional methods of information dissemination, such as websites, emails, and in-person consultations, often lead to delays and inefficiencies, causing frustration among users and increasing administrative workloads. To address this challenge, we developed Campus Query: A Q&A Chatbot for College, an intelligent conversational agent designed to provide real-time, accurate answers to

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Ramadhan, Dehan Setya, and Fatkhul Amin. "Impelementasi Chatbot Menggunakan Framework Rasa Untuk Melayani Informasi Produk Umkm Di Kab.Kendal." INTECOMS: Journal of Information Technology and Computer Science 6, no. 2 (2023): 1057–61. http://dx.doi.org/10.31539/intecoms.v6i2.7571.

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Penelitian ini membahas pengembangan chatbot dengan framework Rasa untuk memberikan informasi produk umkm di Kabupaten Kendal. kendala yang dihadapi seperti kurangnya informasi produk umkm yang dibutuhkan masyarakat. maka untuk mengatasi masalah yang ada dibuatlah sebuah sistem kecerdasan buatan pada layanan informasi produk umkm yaitu chatbot dilengkapi dengan kemampuan bahasa alami untuk memahami permintaan user dan memberikan informasi produk yang ditanyakan. Dengan framework Rasa.ai ini kita dimudahkan oleh platform open source seperti bisa integritas dengan platform sosial media. Dalam pe

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Punith, S., B. Chaitra, Kotagi Veeranna, and R. M. Chethana. "Research Paper on Chatbot for Student Admission Enquiry." Journal of Advancement in Software Engineering and Testing 3, no. 1 (2020): 1–9. https://doi.org/10.5281/zenodo.3733170.

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<em>In this research paper, "Chatbot for Student Admission Enquiry" we describe about the software/tools used in it. We are using Rasa NLP, we have used dialogflow to make interaction with chatbot and also the NLP toolkit. This chatbot was developed using Machine Learning Algorithms. Chatbots are prepared to change UI design. Chatbots are programs that duplicate human conversation using Artificial Intelligence (AI). It is proposed to be an authoritative modest assistant, delight reason, helping one to complete tasks running from tending to questions, getting driving heading, turning

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Shenoy, Ajith, Sushma Ravindra Y, Akash Sharma, Akshay Rajan, and Akshay GV. "NLP Models Behind RASA Stack." International Journal of Engineering and Advanced Technology 8, no. 5s (2019): 62–66. http://dx.doi.org/10.35940/ijeat.e1013.0585s19.

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This paper brings about the foundation of a platform for conversational AI the Rasa platform. This Rasa stack contains a block of open source machine learning tools exclusively used in intend to create a contextual chatbots and assistants. The services hold by this platform undergoes a major classification of powerful APIs and embedded together with Rasa stack which includes Rasa core and Rasa NLU in the form of an event stream discussed throughout this paper and also the algorithm involved in building upon this platform. Its ingredients include the Bag of words algorithm helping in simplifyin

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FATURRACHMAN, Muhammad Haviz Irfani, Zaid Romegar Mair, Septa Cahyani, and Muhammad Ikhwan Jambak. "Implementasi Chatbot Telegram Layanan Informasi Akademik Universitas Indo Global Mandiri Menggunakan Framework Rasa Open Source." Jurnal Software Engineering and Computational Intelligence 2, no. 02 (2025): 122–34. https://doi.org/10.36982/jseci.v2i02.5142.

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Penggunaan teknologi chatbot dalam menyediakan layanan informasi akademik telah menjadi semakin populer dalam lingkungan perguruan tinggi. Studi ini bertujuan untuk mengimplementasikan sebuah chatbot berbasis Telegram untuk layanan informasi akademik di Universitas Indo Global Mandiri. Penelitian ini menggunakan framework Rasa open source, yang memungkinkan pengembangan chatbot yang dapat dipenggunalkan dan dapat disesuaikan dengan kebutuhan pengguna. Metode pengembangan yang digunakan meliputi tahap perancangan, pengembangan, pengujian, dan implementasi. Chatbot yang dihasilkan mampu memberik

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Ferdian, Aldi Dwi, and Sariyun Naja Anwar. "Pengembangan Chatbot untuk Informasi Wisata Interaktif di Tangerang Selatan menggunakan Framework Rasa." Jurnal Teknologi Dan Sistem Informasi Bisnis 5, no. 4 (2023): 476–83. http://dx.doi.org/10.47233/jteksis.v5i4.953.

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Tangerang Selatan adalah salah satu kota di Indonesia yang memiliki potensi pariwisata yang menarik, terutama dalam bidang wisata sejarah, kuliner, dan budaya. Namun, seringkali para wisatawan menghadapi kendala dalam mendapatkan informasi yang akurat dan lengkap tentang berbagai destinasi wisata di Tangerang Selatan. Selain itu, dengan pesatnya perkembangan teknologi, terdapat peningkatan permintaan akan informasi yang cepat dan mudah diakses. Oleh karena itu, penelitian ini fokus pada pengembangan chatbot informasi pariwisata menggunakan framework Rasa. Chatbot ini bertujuan untuk menyediaka

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Omarov, Batyrkhan, Sergazi Narynov, Zhandos Zhumanov, Elmira Alzhanova, Aidana Gumar, and Mariyam Khassanova. "Artificial intelligence enabled conversational agent for mental healthcare." International journal of health sciences 6, no. 3 (2022): 1544–55. http://dx.doi.org/10.53730/ijhs.v6n3.13239.

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Conversational agents are a software program that can converse with users in the manner of a real-world conversation. Artificial intelligence (AI) is not complete without conversation modeling. The most difficult artificial intelligence endeavor since its start has been developing an effective chatbot application. Despite chatbots may do a variety of tasks, their main duty is to accurately understand human speech and respond appropriately. Previously, manual patterns and instructions or simple statistical methods were used to create chatbots architectures. Due to its improved capacity for trai

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Нгуен, Т. М. Ч., and М. В. Щербаков. "A goal-oriented chatbot based on machine learning." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 8, no. 2(29) (2020): 41–42. http://dx.doi.org/10.26102/2310-6018/2020.29.2.041.

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В настоящее время чат-боты становятся очень популярными во многих областях, таких как бизнес, банковское дело, здравоохранение, учеба, путешествия и т.д. Популярность платформ обмена сообщениями, таких как Telegram, Messenger, Whatsapp и других сделала чат-ботов не только популярными, но и стало тенденцией в будущем. С конца декабря 2019 года из-за начала пандемии COVID-19 наступил серьезный кризис в области здравоохранения во всем мире. В связи с этим крайне важно предоставлять информацию об эпидемии всем людям. Многие правительства и организации запустили чат-ботов для информирования населен

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Chiong, Patrick Steven Siaw Chock, Amar Seeam, and Preetila Seeam. "Development of a Smart Tourism Information Chatbot for Mauritius." International Conference on Intelligent and Innovative Computing Applications 2022 (December 31, 2022): 122–30. http://dx.doi.org/10.59200/iconic.2022.013.

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Due to the current COVID-19 situation world wide, the tourism industry has been heavily im pacted worldwide. Chatbots help to minimise the spread of the virus, by limiting physical interac tion, whilst help to promote the industry and make available tourism information in an accessible fa miliar manner. This paper aims to analyse the vari ous aspects of the tourism industry and identify the gaps that need to be addressed in order to improve the customer experiences in Mauritius. The aim was deploy a tourism information chatbot that will provide the necessary information and recommen dations to

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Hidayat, Irsan Nur, Daniel Christanto, Ahmad Nur Rifai, and Muhamad Bahrul Ulum. "IMPLEMENTASI RASA FRAMEWORK PADA CHATBOT LAYANAN AKADEMIK (Studi Kasus: Fakultas Ilmu Komputer Universitas Esa Unggul)." Komputa : Jurnal Ilmiah Komputer dan Informatika 13, no. 2 (2024): 79–90. http://dx.doi.org/10.34010/komputa.v13i2.12178.

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Pelayanan harus dilakukan dengan baik oleh setiap organisasi kepada setiap pemangku kepentingan yang ada. Akan tetapi, manusia tidaklah sanggup untuk memberikan pelayanan secara penuh selama 24 jam dalam sehari. Oleh karena itu, diperlukan penggunaan teknologi untuk membantu organisasi dalam memberikan pelayanan yang baik kepada para pemangku kepentingannya. Salah satunya adalah dengan menggunakan Chatbot. Chatbot merupakan perangkat lunak yang memungkinkan sebuah komputer dapat melakukan dialog dengan manusia. Dalam penelitian ini, sebuah Chatbot Layanan Akademik dibangun dengan studi kasus

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Panca, Rafli Nur Fadhillah, and Felix Andreas Sutanto. "Implementasi dan Analisis Kinerja Chatbot Telegram Rekomendasi Kuliner di Kabupaten Semarang Menggunakan Framework Rasa." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 9, no. 3 (2025): 913–23. https://doi.org/10.35870/jtik.v9i3.3673.

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Perkembangan teknologi informasi telah mendorong inovasi di berbagai sektor, termasuk industri kuliner. Kabupaten Semarang sebagai destinasi wisata kuliner menawarkan beragam pilihan tempat makan yang seringkali menyulitkan wisatawan dalam menentukan pilihan. Penelitian ini bertujuan untuk mengimplementasikan dan menganalisis kinerja chatbot berbasis Telegram dengan menggunakan framework Rasa sebagai media rekomendasi kuliner di Kabupaten Semarang. Chatbot ini dirancang untuk memberikan rekomendasi kuliner secara cepat dan relevan sesuai dengan preferensi pengguna melalui pemanfaatan Natural L

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Salsabila, Hasna. "The Chatbot Systems for Mathematics Education using Knowledge Graphs and Named Entity Recognition." Archives des Sciences 74, no. 2 (2024): 118–23. http://dx.doi.org/10.62227/as/74217.

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The development of chatbot systems for mathematics courses in elementary school has gained significant attention due to their potential to enhance the learning experience. This study proposes a novel approach that combines knowledge graph (KG) and Named Entity Recognition (NER) methods using Neo4j and SpaCy within the Rasa Open-Source v3.0 platform as chatbot frameworks. The knowledge graphs represent mathematical concepts and their relationships, enabling the chatbot to provide accurate and relevant responses to user queries. The NER SpaCy is employed to identify and extract mathematical enti

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Katre, Mandeep. "Chatbot for Career Counselling." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2543–54. http://dx.doi.org/10.22214/ijraset.2021.36718.

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A chatbot is a computer application that is developed to prevaricate and process conversation between humans and digital devices offering the users an experience as if they are communicating with a person in real life instead of a digital device. With today’s customers expecting immediacy and actualization in their interactions with devices, the addition of chatbots as a communication channel has become critical to growing demand. This paper presents the design of an expert system for educational guidance for students available after SSC & HSC. This project is aimed to implement a web-base

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Alabbas, Abeer, and Khalid Alomar. "Tayseer: A Novel AI-Powered Arabic Chatbot Framework for Technical and Vocational Student Helpdesk Services and Enhancing Student Interactions." Applied Sciences 14, no. 6 (2024): 2547. http://dx.doi.org/10.3390/app14062547.

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The rise of conversational agents (CAs) like chatbots in education has increased the demand for advisory services. However, student–college admission interactions remain manual and burdensome for staff. Leveraging CAs could streamline the admission process, providing efficient advisory support. Moreover, limited research has explored the role of Arabic chatbots in education. This study introduces Tayseer, an Arabic AI-powered web chatbot that enables instant access to college information and communication between students and colleges. This study aims to improve the abilities of chatbots by in

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Al Fajri, Miftahul Rizki, and Budi Hartono. "Pengembangan Aplikasi Chatbot Telegram Menggunakan Framework Rasa untuk Pelayanan Administrasi di Perguruan Tinggi Universitas Stikubank." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 8, no. 1 (2024): 133–36. http://dx.doi.org/10.35870/jtik.v8i1.1370.

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The administrative services in universities are currently still conventional, resulting in many difficulties due to the mismatched time. For this research, a Telegram chatbot application will be developed to provide various answers to administrative inquiries in universities automatically. The chatbot application will be developed using the Rasa Open Source framework. This research collects data from several frequently asked questions by students and prospective students to the Biro Administrasi Akademik dan Kemahasiswaan (BAAK) as the initial data for the chatbot application. From this data,

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Zein Hanni Pradana, Hanin Nafi'ah, and Raditya Artha Rochmanto. "in Chatbot-based Information Service using RASA Open-SourceFrameworkin Prambanan Temple Tourism Object." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 4 (2022): 656–62. http://dx.doi.org/10.29207/resti.v6i4.3913.

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The pandemic has caused a shift in the tourism industry's drive towards comprehensive digitization. This approach is used to prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the mobility of tourists who will vacation in Indonesia causes losses and foreign exchange earnings of the state in the tourism industry sector of 20.7 billion. So, to survive in the current situation, industry players must be able to adapt and rise by providing more effective innovations. This study aims to develop a Question Answering System or a digital

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