feat: add example files (#15)

Author: Wazzabeee

README.md

@@ -7,7 +7,7 @@
 ![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**
 ---

data/pdf/plagiarism/AI_Healthcare_Applications.pdf

@@ -0,0 +1,21 @@
+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.