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10.46243/jst.2021.v6.i04.pp394-398 registered

TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning

Resolves to https://www.jst.org.in/index.php/pub/article/view/823

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2021.v6.i04.pp394-398

Registered 29 Sep 2026 via crossref · record version 2 · last change 30 Sep 2026, 12:00 AM · record sha256 b4a3af9966edf21a…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning (PrincipalTitle)

Published 2021-08-16

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 06 · issue 01 · pages 394–398

Agents

  • Ajinkya Deshpande (author)
  • Payal Bhosale (author)
  • Sharad Tawde (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jst.2021.v6.i04.pp394-398

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.

Licence https://creativecommons.org/licenses/by/4.0/

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jst.2021.v6.i04.pp394-398doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
TG’JI Chatbot: Automation of Teacher Guardian System using Machine learning (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: Ajinkya Deshpande
author: Payal Bhosale
author: Sharad Tawde
publisher: Longman Publishers
published: 2021-08-16
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 394–398
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2026-09-12record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 71 fields set · sha256 0bb49561b778…
230 Sep 2026, 12:00 AMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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