Cite this DOI
10.46243/jst.2021.v6.i04.pp394-398 · TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning
APA (7th edition)
Deshpande, A., Bhosale, P., & Tawde, S. (2021). TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning. *Journal of Science & Technology*, *06*(01), 394–398. https://doi.org/10.46243/jst.2021.v6.i04.pp394-398
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{deshpande2021tgji,
author = {Deshpande, Ajinkya and Bhosale, Payal and Tawde, Sharad},
title = {{TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning}},
journal = {Journal of Science \& Technology},
year = {2021},
month = {aug},
volume = {06},
number = {01},
pages = {394--398},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2021.v6.i04.pp394-398},
url = {https://doi.org/10.46243/jst.2021.v6.i04.pp394-398},
language = {en},
abstract = {In recent times, the design and implementation of chatbots have received great attention from developers and researchers. Chatbots are Artificial Intelligence (AI) based conversational systems which are able to process human language through various techniques including Natural Language Processing (NLP) and Neural Network (NN). The proposed methodology is to develop a state-of-the-art chatbot application that can be used in colleges and institute as medium of communication between Teacher Guardian and parent of students. The proposed chatbot can be implemented using a couple of tools such as Dialog Flow, TensorFlow, Android Studio and Firebase, followed by Machine Learning (ML) techniques to provide information about ward to parents through use of Chatbot. The parents can know about attendance of their ward as well the performance at exams.}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning AU - Deshpande, Ajinkya AU - Bhosale, Payal AU - Tawde, Sharad JO - Journal of Science & Technology PY - 2021 DA - 2021/08/16/ VL - 06 IS - 01 SP - 394 EP - 398 PB - Longman Publishers SN - 2456-5660 LA - en AB - In recent times, the design and implementation of chatbots have received great attention from developers and researchers. Chatbots are Artificial Intelligence (AI) based conversational systems which are able to process human language through various techniques including Natural Language Processing (NLP) and Neural Network (NN). The proposed methodology is to develop a state-of-the-art chatbot application that can be used in colleges and institute as medium of communication between Teacher Guardian and parent of students. The proposed chatbot can be implemented using a couple of tools such as Dialog Flow, TensorFlow, Android Studio and Firebase, followed by Machine Learning (ML) techniques to provide information about ward to parents through use of Chatbot. The parents can know about attendance of their ward as well the performance at exams. DO - 10.46243/jst.2021.v6.i04.pp394-398 UR - https://doi.org/10.46243/jst.2021.v6.i04.pp394-398 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp394-398 gives all four in one JSON answer.
