AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI

Authors

  • Dr.SUBBA REDDY BORRA
  • P.NAVYA SRI
  • P.SHEETAL

DOI:

https://doi.org/10.46243/jst.2024.v9.i01.pp106-115

Keywords:

Describes, Insurance Policy,Opinion, Sentiment, Human Brain, Positive, Negative

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.

 

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Published

2024-01-29

How to Cite

BORRA, D. R., P.NAVYA SRI, & P.SHEETAL. (2024). AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI. Journal of Science & Technology (JST), 9(1), 106–115. https://doi.org/10.46243/jst.2024.v9.i01.pp106-115

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