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feat: add example files #15

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May 4, 2024
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2 changes: 1 addition & 1 deletion README.md
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![GIF demo](data/img/example.gif)

## About
This program will process pdf, txt, docx, and txt files that can be found in the given input directory, find similar sentences, calculate similarity percentage, display a similarity table with links to side by side comparison where similar sentences are highlighted.
This program will process pdf, txt, docx, and odt files that can be found in the given input directory, find similar sentences, calculate similarity percentage, display a similarity table with links to side by side comparison where similar sentences are highlighted.

**Usage**
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21 changes: 21 additions & 0 deletions data/pdf/plagiarism/AI_Healthcare_Benefits.txt
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AI in Healthcare: Benefits and Challenges

Artificial Intelligence (AI) is making waves in the healthcare sector.
Diagnostic imaging is one area where AI excels, with machine learning algorithms
capable of detecting abnormalities with great accuracy. Personalized treatment
plans are enhanced by AI's ability to sift through large amounts of data and
identify key trends.

In the field of predictive analytics, AI is invaluable. By examining patient
records, machine learning models can assess the risk of developing certain
conditions, allowing for proactive healthcare measures. This is particularly
important in managing chronic illnesses like diabetes and cardiovascular disease.

Natural Language Processing (NLP) is another area where AI is beneficial, as it
allows for efficient processing of medical notes and facilitates clinical
decision-making by extracting relevant information from large medical databases.

Challenges such as data privacy and ethical considerations must be tackled to
maximize the benefits of AI in healthcare. Despite these challenges, AI's
potential to improve patient outcomes and reduce healthcare costs makes it a
valuable tool in the industry.
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