AI Based Student Bot for Academic Information System using Machine Learning Article Swipe
R. Vijayakumar
,
B. Bhuvaneshwari
,
S Adith
,
M. Deepika
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.32628/cseit1952171
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.32628/cseit1952171
In General all the institutions like colleges sends their notes and information to students individually. Sometimes the student can�t access it quickly and repetition of data also increased. The realm of this work is to create a Chatbot for the college purpose. Our work reduces the human work to send every details and notes to all departments by email or some other medium. In this work, academic information's /details feed it to the database which will be available for the long time period. The academic information consists of information about placements details, exam time tables, semester notes and upcoming events. A Chatbot is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. The chat bot stores the data by key words and when the user entered data is matched with the key it reply the assigned data for it. The Chatbot is created by using python language and Natural language processing. This project make use of the MySQL database to store the information. With the help of natural language processing the bot AI understand the message sent by the user and reply with the matched key value. In this Chatbot the user first need to login by their college roll number and Department. When the valid person asks about the particular information by text the information gets retrieved from the updated database that related to their department. Through this chat box the student can easily access whenever they want and the data need not to be update more than once.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32628/cseit1952171
- OA Status
- diamond
- Cited By
- 23
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2928342880
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2928342880Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32628/cseit1952171Digital Object Identifier
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AI Based Student Bot for Academic Information System using Machine LearningWork title
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articleOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-03-10Full publication date if available
- Authors
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R. Vijayakumar, B. Bhuvaneshwari, S Adith, M. DeepikaList of authors in order
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https://doi.org/10.32628/cseit1952171Publisher landing page
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.32628/cseit1952171Direct OA link when available
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Login, Computer science, Chatbot, World Wide Web, Python (programming language), Conversation, Natural language, Key (lock), Artificial intelligence, Programming language, Computer security, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
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23Total citation count in OpenAlex
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2025: 3, 2024: 6, 2023: 4, 2022: 1, 2021: 6Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.human | 46 |
| abstract_inverted_index.login | 202 |
| abstract_inverted_index.notes | 9, 53, 96 |
| abstract_inverted_index.once. | 256 |
| abstract_inverted_index.other | 61 |
| abstract_inverted_index.realm | 29 |
| abstract_inverted_index.reply | 140, 188 |
| abstract_inverted_index.sends | 7 |
| abstract_inverted_index.store | 167 |
| abstract_inverted_index.their | 8, 204, 232 |
| abstract_inverted_index.using | 151 |
| abstract_inverted_index.valid | 212 |
| abstract_inverted_index.which | 74, 110 |
| abstract_inverted_index.words | 127 |
| abstract_inverted_index.work, | 65 |
| abstract_inverted_index.access | 19, 242 |
| abstract_inverted_index.create | 35 |
| abstract_inverted_index.easily | 241 |
| abstract_inverted_index.number | 207 |
| abstract_inverted_index.person | 213 |
| abstract_inverted_index.python | 152 |
| abstract_inverted_index.stores | 122 |
| abstract_inverted_index.update | 253 |
| abstract_inverted_index.value. | 193 |
| abstract_inverted_index.Chatbot | 37, 101, 147, 196 |
| abstract_inverted_index.General | 1 |
| abstract_inverted_index.Natural | 155 |
| abstract_inverted_index.Through | 234 |
| abstract_inverted_index.can�t | 18 |
| abstract_inverted_index.college | 40, 205 |
| abstract_inverted_index.created | 149 |
| abstract_inverted_index.details | 51 |
| abstract_inverted_index.entered | 132 |
| abstract_inverted_index.events. | 99 |
| abstract_inverted_index.matched | 135, 191 |
| abstract_inverted_index.medium. | 62 |
| abstract_inverted_index.message | 182 |
| abstract_inverted_index.natural | 174 |
| abstract_inverted_index.period. | 82 |
| abstract_inverted_index.program | 105 |
| abstract_inverted_index.project | 159 |
| abstract_inverted_index.quickly | 21 |
| abstract_inverted_index.reduces | 44 |
| abstract_inverted_index.related | 230 |
| abstract_inverted_index.student | 17, 239 |
| abstract_inverted_index.tables, | 94 |
| abstract_inverted_index.textual | 117 |
| abstract_inverted_index.updated | 227 |
| abstract_inverted_index./details | 68 |
| abstract_inverted_index.academic | 66, 84 |
| abstract_inverted_index.assigned | 142 |
| abstract_inverted_index.auditory | 115 |
| abstract_inverted_index.colleges | 6 |
| abstract_inverted_index.computer | 104 |
| abstract_inverted_index.conducts | 111 |
| abstract_inverted_index.consists | 86 |
| abstract_inverted_index.database | 73, 165, 228 |
| abstract_inverted_index.details, | 91 |
| abstract_inverted_index.language | 153, 156, 175 |
| abstract_inverted_index.methods. | 118 |
| abstract_inverted_index.purpose. | 41 |
| abstract_inverted_index.semester | 95 |
| abstract_inverted_index.students | 13 |
| abstract_inverted_index.upcoming | 98 |
| abstract_inverted_index.whenever | 243 |
| abstract_inverted_index.Sometimes | 15 |
| abstract_inverted_index.available | 77 |
| abstract_inverted_index.retrieved | 224 |
| abstract_inverted_index.artificial | 108 |
| abstract_inverted_index.increased. | 27 |
| abstract_inverted_index.particular | 217 |
| abstract_inverted_index.placements | 90 |
| abstract_inverted_index.processing | 176 |
| abstract_inverted_index.repetition | 23 |
| abstract_inverted_index.understand | 180 |
| abstract_inverted_index.Department. | 209 |
| abstract_inverted_index.department. | 233 |
| abstract_inverted_index.departments | 56 |
| abstract_inverted_index.information | 11, 85, 88, 218, 222 |
| abstract_inverted_index.processing. | 157 |
| abstract_inverted_index.conversation | 113 |
| abstract_inverted_index.information. | 169 |
| abstract_inverted_index.institutions | 4 |
| abstract_inverted_index.intelligence | 109 |
| abstract_inverted_index.individually. | 14 |
| abstract_inverted_index.information's | 67 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.8899999856948853 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.86359065 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |