Cite this DOI

BORRA, D. R. (2024). AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI. *Journal of Science & Technology*, 106–115. https://doi.org/10.46243/jst.2024.v9.i01.pp106-115

@article{borra2024automating,
  author    = {BORRA, Dr.SUBBA REDDY},
  title     = {{AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT \& IMAGE BASED SENTIMENT DETECTION USING AI}},
  journal   = {Journal of Science \& Technology},
  year      = {2024},
  month     = {jan},
  pages     = {106--115},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2024.v9.i01.pp106-115},
  url       = {https://doi.org/10.46243/jst.2024.v9.i01.pp106-115},
  language  = {en},
  abstract  = {In this paper, author describes the concept of predicting insurance policy charges and user opinion sentiment on policies by applying machine learning and artificial intelligence. Machine learning can automatically predict future values by analyzing past historical data, and artificial intelligence will take decision as human brain (as our brain help us in making decision as working hard if marks are less, or taking it easy). Additionally, by analysing male and female BMI index AI and machine learning can predict insurance policies and their charges. This AI and machine learning can also analyze users' opinions or reviews and then it will take decision as whether their opinion is positive, negative, or neutral.}
}

TY  - JOUR
TI  - AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI
AU  - BORRA, Dr.SUBBA REDDY
JO  - Journal of Science & Technology
PY  - 2024
DA  - 2024/01/29/
SP  - 106
EP  - 115
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - In this paper, author describes the concept of predicting insurance policy charges and user opinion sentiment on policies by applying machine learning and artificial intelligence. Machine learning can automatically predict future values by analyzing past historical data, and artificial intelligence will take decision as human brain (as our brain help us in making decision as working hard if marks are less, or taking it easy). Additionally, by analysing male and female BMI index AI and machine learning can predict insurance policies and their charges. This AI and machine learning can also analyze users' opinions or reviews and then it will take decision as whether their opinion is positive, negative, or neutral.
DO  - 10.46243/jst.2024.v9.i01.pp106-115
UR  - https://doi.org/10.46243/jst.2024.v9.i01.pp106-115
ER  -

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    "id": "10.46243/jst.2024.v9.i01.pp106-115",
    "DOI": "10.46243/jst.2024.v9.i01.pp106-115",
    "URL": "https://doi.org/10.46243/jst.2024.v9.i01.pp106-115",
    "title": "AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "BORRA",
            "given": "Dr.SUBBA REDDY"
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    "issued": {
        "date-parts": [
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                2024,
                1,
                29
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    "page": "106-115",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "In this paper, author describes the concept of predicting insurance policy charges and user opinion sentiment on policies by applying machine learning and artificial intelligence. Machine learning can automatically predict future values by analyzing past historical data, and artificial intelligence will take decision as human brain (as our brain help us in making decision as working hard if marks are less, or taking it easy). Additionally, by analysing male and female BMI index AI and machine learning can predict insurance policies and their charges. This AI and machine learning can also analyze users' opinions or reviews and then it will take decision as whether their opinion is positive, negative, or neutral.",
    "ISSN": "2456-5660"
}

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.2024.v9.i01.pp106-115 gives all four in one JSON answer.