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Journal articles on the topic 'Google Cloud Speech-to-Text API'

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1

Choi, Jungyoon, Haeyoung Gill, Soobin Ou, and Jongwoo Lee. "CCVoice: Voice to Text Conversion and Management Program Implementation of Google Cloud Speech API." KIISE Transactions on Computing Practices 25, no. 3 (2019): 191–97. http://dx.doi.org/10.5626/ktcp.2019.25.3.191.

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Soesanto, Daniel, Budi Hartanto, and Melisa. "Meeting Assistant System Berbasis Teknologi Speech-to-Text." Teknika 10, no. 1 (2021): 1–7. http://dx.doi.org/10.34148/teknika.v10i1.307.

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Kegiatan rapat merupakan hal yang dilakukan secara berkala di setiap organisasi. Rapat tersebut diselenggarakan dengan tujuan untuk menyampaikan perkembangan tugas setiap divisi yang akan dicatat oleh seorang notulis. Pencatatan tersebut digunakan sebagai arsip organisasi yang biasanya disebut notulen rapat. Namun terdapat beberapa kendala yang dihadapi dalam penyusunan notulen rapat. Salah satu kendala tersebut misalnya notulis berhalangan hadir dalam rapat sehingga dibutuhkan orang yang menggantikan posisi notulis. Kendala lainnya adalah kecepatan mengetik atau menulis dari notulis yang belu
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DALE, ROBERT. "Text analytics APIs, Part 2: The smaller players." Natural Language Engineering 24, no. 5 (2018): 797–803. http://dx.doi.org/10.1017/s135132491800027x.

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AbstractIt seems like there’s yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you’re interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.
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Abdulkareem, Ademola, Tobiloba E. Somefun, Oji K. Chinedum, and Felix Agbetuyi. "Design and implementation of speech recognition system integrated with internet of things." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1796. http://dx.doi.org/10.11591/ijece.v11i2.pp1796-1803.

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The process of speech recognition is such that a speech signal from a client or user is received by the system through a microphone, then the system analyses this signal and extracts useful information from the signal which is converted to text. This study focuses on the design and implementation of a speech recognition system integrated with internet of thing (IoT) to control electrical appliances and door with raspberry pi as a core element. To design the speech recognition system, digital signal processing (DSP) technique and hidden Markov model were fully considered for processing, extract
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Ronquillo, Jay G., and William T. Lester. "Practical Aspects of Implementing and Applying Health Care Cloud Computing Services and Informatics to Cancer Clinical Trial Data." JCO Clinical Cancer Informatics, no. 5 (August 2021): 826–32. http://dx.doi.org/10.1200/cci.21.00018.

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PURPOSE Cloud computing has led to dramatic growth in the volume, variety, and velocity of cancer data. However, cloud platforms and services present new challenges for cancer research, particularly in understanding the practical tradeoffs between cloud performance, cost, and complexity. The goal of this study was to describe the practical challenges when using a cloud-based service to improve the cancer clinical trial matching process. METHODS We collected information for all interventional cancer clinical trials from ClinicalTrials.gov and used the Google Cloud Healthcare Natural Language Ap
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Lu, Chen Hong, and Yue Li Hu. "Speech Control System for Robot Based on Raspberry Pi." Advanced Materials Research 791-793 (September 2013): 663–67. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.663.

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Raspberry Pi is a credit card sized Linux computer based on ARM11 architecture. Because of its small size, low power consumption and powerful performance, a robot controller is a suitable role for it to play. As a robot with artificial intelligence, speech recognition for controlling the robot and voice feedback to users is key parts of the entire system. In this essay, a robot called Lisa is assembled, and a speech control and interactive system is implemented based on Google voice API which is a voice recognition engine provided as a cloud service. In order to analysis complex voice commands
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Liu, Xiaohui, Bandana Kar, Francisco Alejandro Montiel Ishino, Chaoyang Zhang, and Faustine Williams. "Assessing the Reliability of Relevant Tweets and Validation Using Manual and Automatic Approaches for Flood Risk Communication." ISPRS International Journal of Geo-Information 9, no. 9 (2020): 532. http://dx.doi.org/10.3390/ijgi9090532.

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While Twitter has been touted as a preeminent source of up-to-date information on hazard events, the reliability of tweets is still a concern. Our previous publication extracted relevant tweets containing information about the 2013 Colorado flood event and its impacts. Using the relevant tweets, this research further examined the reliability (accuracy and trueness) of the tweets by examining the text and image content and comparing them to other publicly available data sources. Both manual identification of text information and automated (Google Cloud Vision, application programming interface
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Ahmed, Haniya, and Kenny Wong. "Analyzing the Sentiment of MOOC Discussion Posts." Alberta Academic Review 2, no. 2 (2019): 1–2. http://dx.doi.org/10.29173/aar36.

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The purpose of the project is to identify common difficulties that learners may face and to understand their emotions as they progress through MOOCs. MOOC is an abbreviation for the Massive Open Online Course and the research deals with the data from ten different courses from Coursera. The data is used to extract pieces of text that students have made. Then, those certain texts are required to be sent to Google Cloud Natural Language API. This app allows users to get a sentiment analysis of a text. The main goal is to assist instructors with monitoring MOOC to make it more efficient and easie
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9

Orochi, Orlunwo Placida, and Ledesi Kabari. "Text-to-Speech Recognition using Google API." International Journal of Computer Applications 183, no. 15 (2021): 18–20. http://dx.doi.org/10.5120/ijca2021921474.

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Zubaidi, Ariyan, Affandy Akbar, and Ario Yudo Husodo. "Implementasi Google Speech API Pada Aplikasi Koreksi Hapalan Al-Qur'an Berbasis Android." Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) 1, no. 1 (2019): 1–8. http://dx.doi.org/10.29303/jtika.v1i1.8.

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Muroja’ah is a method of repeating new memorization and old memorization that be heard to other people. This method is very popular in Indonesia. In order to make the learning process isn’t boring, it is required a learning media that can be used anytime, one of them are using Android application. The research describes how to build a Qur’an recitation correction application based on Android and integrate it with Google Speech so that application built more interesting and interactive with users. Google Speech be integrate as voice input media, users requested recite Qur’an verses then Google
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Afrianto, Irawan, Muhammad Fahmi Irfan, and Sufa Atin. "Aplikasi Chatbot Speak English Media Pembelajaran Bahasa Inggris Berbasis Android." Komputika : Jurnal Sistem Komputer 8, no. 2 (2019): 99–109. http://dx.doi.org/10.34010/komputika.v8i2.2273.

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Kemampuan Bahasa Inggris yang baik tentu akan menjadi modal kompetitif, baik dalam bidang pendidikan maupun pekerjaan.Teknologi chatbot adalah merupakan teknologi yang dapat dimanfaatkaan sebagai solusi untuk permasalahan dalam lingkup edukasi. Beberapa penelitian telah membuktikan pemanfaatan chatbot sebagai media belajar, terutama pembelajaran Bahasa Inggris. Disamping itu, sumber daya untuk mendukung pengembangan teknologi chatbot sudah cukup banyak tersedia, seperti API yang mempermudah untuk pembuatan chatbot seperti Dialogflow API yang digunakan pada penelitian ini. Metode yang digunakan
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Khairunizam, Khairunizam, Danuri Danuri, and Jaroji Jaroji. "Aplikasi Pemutar Musik Menggunakan Speech Recognition." INOVTEK Polbeng - Seri Informatika 2, no. 2 (2017): 97. http://dx.doi.org/10.35314/isi.v2i2.196.

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Intisari - Perkembangan teknologi pada saat ini semakin maju dan sangat pesat, terutama pada teknologi smartphone semakin canggih, oleh sebab itu produsen smartphone semakin banyak dipasaran dengan menawarkan berbagai fitur-fitur dari smartphone yang diproduksinya dan bermacam-macam jenis merek. Aplikasi pemutar musik masih mencari lagu dengan menggunakan ketik untuk mencari lagu, pembuatan aplikasi pemutar musik dibutuhkan data musik, editor android studio, library google speech API dan platform android membuat sebuah aplikasi pemutar musik menggunakan speech recognition. Aplikasi ini bekerja
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Albertus, Michael, and Muliady Muliady. "Pengaturan Fan Speed dan Suhu Air Conditioner Melalui Ucapan Dengan Layanan Google Assistant API." TESLA: Jurnal Teknik Elektro 21, no. 2 (2020): 170. http://dx.doi.org/10.24912/tesla.v21i2.7189.

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Air conditioner control using speech recognition is made to help people with disabilities that unable to operate remote control physically but have verbal abilities. Verbal control allows disabled people adjust temperatures and fan speed. Speech received by Respeaker 2-mics Pi HAT module, converted into wav, processed by Google Assistant API with Natural Language Processing algorithm by categorizing words into their types, subject, predicate, object, and description to facilitate Google Assistant API. Words matched with command in command text database Raspberry Pi 3 to enable local commands m
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14

Inupakutika, D., M. Nadim, G. R. Gunnam, et al. "Integration of NLP and Speech-to-text Applications with Chatbots." Electronic Imaging 2021, no. 3 (2021): 35–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-035.

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With the evolving artificial intelligence technology, the chatbots are becoming smarter and faster lately. Chatbots are typically available round the clock providing continuous support and services. A chatbot or a conversational agent is a program or software that can communicate using natural language with humans. The challenge of developing an intelligent chatbot still exists ever since the onset of artificial intelligence. The functionality of chatbots can range from business oriented short conversations to healthcare intervention based longer conversations. However, the primary role that t
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15

Hussein, Noor A., and Mohamed Ibrahim Shujaa. "Secure vehicle to vehicle voice chat based MQTT and CoAP internet of things protocol." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 526. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp526-534.

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The congestion of road traffic is one of the most problems facing the ambulance transportation to provide fast healthcare service for patient. In this work, ambulance tracking with messages transfer system has been designed and implemented such that a central monitoring and tracking unit can observe ambulance using MQTT IoT protocol. Where each vehicle is occupied with an intelligent embedded system (Raspberry Pi) unit. When an ambulance is being in the road, it will communicate with other vehicle or road traffic by means of CoAP IoT protocol as a direct device to device communication. The pro
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Fifaridillah, Faizin, and Atiqah Meutia Hilda. "Rancang Bangun Aplikasi Terapi Wicara Grow SCDC (Special Child Development Centre) Berbasis Android." Prosiding Seminar Nasional Teknoka 5 (December 19, 2020): 41–49. http://dx.doi.org/10.22236/teknoka.v5i.313.

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Klinik Tumbuh Kembang Anak Grow SCDC (Special Child Development Centre) merupakan salah satu pusat terapi untuk perkembangan kesehatan anak, dimana kegiatan yang ada di dalamnya terdapat beberapa fasilitas terapi untuk perkembangan anak yang mengalami gangguan kesehatan. Salah satu gangguan adalah berbahasa atau bicara. Aplikasi terapi wicara dibangun dengan berbasis android menggunakan metode Extreme Programming. Aplikasi terapi wicara menggunakan metode perubahan teks menjadi suara (text to speech) dan metode suara menjadi teks (speech to text). Metode text to speech dilakukan dengan menyebu
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17

Nurakhov, Y. S., and A. E. Kami. "INFORMATION SYSTEM FOR PEOPLE WITH HEARING IMPAIRMENT." PHYSICO-MATHEMATICAL SERIES 335, no. 1 (2021): 54–59. http://dx.doi.org/10.32014/2021.2224-5294.8.

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The article presents the development of an information system for recognizing voice into text for people with hearing impairments, which makes it possible to improve the quality of life and interaction in society with other people. The device, software, functional blocks and subsystems of the information system are described. Examples of possible application and placement of the system in various spheres of public life are given. One of the types of implementation of the voice recognition information system is described. The development and creation of prototypes of a device for people with he
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Nurakhov, Y. S., and A. E. Kami. "INFORMATION SYSTEM FOR PEOPLE WITH HEARING IMPAIRMENT." PHYSICO-MATHEMATICAL SERIES 335, no. 1 (2021): 54–59. http://dx.doi.org/10.32014/2021.2518-1726.8.

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The article presents the development of an information system for recognizing voice into text for people with hearing impairments, which makes it possible to improve the quality of life and interaction in society with other people. The device, software, functional blocks and subsystems of the information system are described. Examples of possible application and placement of the system in various spheres of public life are given. One of the types of implementation of the voice recognition information system is described. The development and creation of prototypes of a device for people with he
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Ibrahim, Valentina, Juhaid Abu Bakar, Nor Hazlyna Harun, and Alaa Fareed Abdulateef. "A Word Cloud Model based on Hate Speech in an Online Social Media Environment." Baghdad Science Journal 18, no. 2(Suppl.) (2021): 0937. http://dx.doi.org/10.21123/bsj.2021.18.2(suppl.).0937.

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Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to deve
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Schultz, Benjamin G., Venkata S. Aditya Tarigoppula, Gustavo Noffs, et al. "Automatic speech recognition in neurodegenerative disease." International Journal of Speech Technology 24, no. 3 (2021): 771–79. http://dx.doi.org/10.1007/s10772-021-09836-w.

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AbstractAutomatic speech recognition (ASR) could potentially improve communication by providing transcriptions of speech in real time. ASR is particularly useful for people with progressive disorders that lead to reduced speech intelligibility or difficulties performing motor tasks. ASR services are usually trained on healthy speech and may not be optimized for impaired speech, creating a barrier for accessing augmented assistance devices. We tested the performance of three state-of-the-art ASR platforms on two groups of people with neurodegenerative disease and healthy controls. We further ex
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Graterol, Wilfredo, Jose Diaz-Amado, Yudith Cardinale, Irvin Dongo, Edmundo Lopes-Silva, and Cleia Santos-Libarino. "Emotion Detection for Social Robots Based on NLP Transformers and an Emotion Ontology." Sensors 21, no. 4 (2021): 1322. http://dx.doi.org/10.3390/s21041322.

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For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such as text, speech, images, or videos. The multimedia content is then properly processed to recognize emotions/sentiments, for example, by analyzing faces and postures in images/videos based on machine learning techniques or by converting speech into text to perform emotion detection with natural language processing (NLP) techniques. Keeping this inf
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Anjasmara, Ryan, Indah Lestari, and Meilany Dewi. "Aplikasi Pembelajaran Hiragana Bahasa Jepang Berbasis Android Menggunakan Speech Recognition." Jurnal Komputer Terapan November 2019, Vol 5 No 2 (2019) (November 29, 2019): 32–43. http://dx.doi.org/10.35143/jkt.v5i2.2676.

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Alternatif mempelajari bahasa Jepang adalah dengan menggunakan mobile learning. Berdasarkan perbandingan yang dilakukan terhadap 7 aplikasi pembelajaran bahasa Jepang yang populer di playstore, belum terdapat aplikasi pembelajaran bahasa Jepang yang memiliki fitur speech recognition untuk pengucapan kalimat Jepang. Pada penelitian ini dirancang aplikasi pembelajaran hiragana Jepang untuk kalimat menggunakan speech recognition. Aplikasi ini menggunakan google cloud speech-to-text untuk fitur speech recognition. Algoritma yang diterapkan pada aplikasi ini adalah levenshtein distance untuk memban
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Suadaa Irfana, Maisyatus, and . "The Use Of Voice in Opac Using Google API Voice Recognition & Speech Synthesis and Fullproof Algorithm as Faster Searching Device." International Journal of Engineering & Technology 7, no. 3.7 (2018): 274. http://dx.doi.org/10.14419/ijet.v7i3.7.16390.

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The development of technology provides convenience to all human beings including public librarians. OPAC becomes a solution for library users to search books in a short time with accurate data in which they previously used a manual system. However, there are some users, especially users with certain disabilities, such as users who cannot see, are unable to use OPAC. The idea came up to make OPAC with voice as a substitute for another alternative of text input use. OPAC with voice has been used in several big libraries in Indonesia. One of them is in State Islamic University of Sunan Kalijogo.
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Hussain, Ali, Miss Laiha Mat Kiah, Nor Badrul Anuar, Rafidah Md Noor, and Muneer Ahmad. "Performance and Security Challenges Digital Rights Management (DRM) Approaches Using Fog Computing for Data Provenance: A Survey." Journal of Medical Imaging and Health Informatics 10, no. 10 (2020): 2404–20. http://dx.doi.org/10.1166/jmihi.2020.3178.

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Over the past few years, the cloud based storage providers such as Google drive, OneDrive, Box and Dropbox are increasingly being used to store users personal profile based data, which users could share over cloud storage devices. Immediately, the users data leaves the user premises and enters the cloud storage, the user has lost all the control over its data, and even when that data is further shared for the purposes of collaboration. Digital rights management (DRM) for Content hosted in Cloud based storage covers technologies related devices that protects the digital assets stored in cloud b
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Ibrahim, Ribwar Bakhtyar. "Performance Analysis: AI-based VIST Audio Player by Microsoft Speech API." Kurdistan Journal of Applied Research, July 7, 2021, 21–28. http://dx.doi.org/10.24017/science.2021.1.3.

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Speech recognition has gained much attention from researchers for almost last two decades. Isolated words, connected words, and continuous speech are the main focused areas of speech recognition. Researchers have adopted many techniques to solve speech recognition challenges under the umbrella of Artificial Intelligence (AI), Pattern Recognition and Acoustic Phonetic approaches. Variation in pronunciation of words, individual accents, unwanted ambient noise, speech context, and quality of input devices are some of these challenges in speech recognition. Many Application Programming Interface (
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Dalvi, Anjali, Mohd Ali Ansari, Anjali Tiwari, Rutuja Sonavane, and Arti Bakshi. "Voice Automation and Security Using Raspberry Pi 3." International Journal of Advanced Research in Science, Communication and Technology, April 27, 2021, 453–57. http://dx.doi.org/10.48175/ijarsct-944.

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Internet of Things (IoT) globally is an emerging technology enabling the exchange of knowledge and services. But over the years, security in IoT has become an issue. This paper shows a way of including security to daily-based applications by the use of voice biometrics. The voice of a user is stored and authenticated using an API (Application Programming Interface) called “VoiceIT”. This method involves the use of Python as the main coding language and uses many libraries such as the Google Speech library for speech synthesis that converts a speech to a text format. The processing of the code
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"JACOB Voice Chatbot Application using Wit.ai for Providing Information in UMN." International Journal of Engineering and Advanced Technology 8, no. 6S3 (2019): 105–9. http://dx.doi.org/10.35940/ijeat.f1017.0986s319.

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In this modern age, chatbots have been widely used as an information provider. The popularity of voice-based chatbots or voice chatbots has also increased with the presence of technologies such as Microsoft Cortana, Amazon Lex, Apple Siri, and Google Assistant. Interaction with voice chatbot is done using a voice which is more convenient than the text-based chatbots. Universitas Multimedia Nusantara (UMN) requires a tool to provide information for the Informatics joint-degree program. In this paper, a voice chatbot named JACOB is proposed. JACOB is built as a web-based application and implemen
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"Smart Mirror." International Journal of Recent Technology and Engineering 8, no. 2S11 (2019): 925–29. http://dx.doi.org/10.35940/ijrte.b1152.0982s1119.

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This paper describes and explains the design and working of a mirror made smart called Smart mirror built using raspberry pi. The visual representation of the product is similar to a regular mirror that can display weather details, temperature, time and daily news on voice commands. The smart mirror acts as a personal assistant, an enquiry center and displays important curriculum or college notices. It can answer basic questions, display class timetable and show directions to various places of an institute. It could be linked to google cloud for various IOT based tasks like home automation etc
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