Plagiarism Checker Tool
const plagiarismForm = document.getElementById('plagiarism-form');
const plagiarismResults = document.getElementById('plagiarism-results');
plagiarismForm.addEventListener('submit', function(event) {
event.preventDefault();
const userInput = document.getElementById('user-input').value;
// Code to compare the user input against a database of sources using an algorithm and double index approach
// Code to calculate the percentage of similarity
// Code to display the results to the user
});
const plagiarismForm = document.getElementById('plagiarism-form');
const plagiarismResults = document.getElementById('plagiarism-results');
plagiarismForm.addEventListener('submit', function(event) {
event.preventDefault();
const userInput = document.getElementById('user-input').value;
// Code to compare the user input against a database of sources using an algorithm and double index approach
const database1 = [...]; // array of sources from the first database
const database2 = [...]; // array of sources from the second database
const similarity1 = compareWithDatabase(userInput, database1); // compare the user input against the first database
const similarity2 = compareWithDatabase(userInput, database2); // compare the user input against the second database
const similarity = Math.max(similarity1, similarity2); // use the higher similarity value from the two databases
// Code to calculate the percentage of similarity
const similarityPercentage = similarity * 100;
// Code to display the results to the user
if (similarityPercentage > 0) {
plagiarismResults.innerHTML = `
Your text is ${similarityPercentage.toFixed(2)}% similar to other sources.
`;
} else {
plagiarismResults.innerHTML = '
Your text is unique.
';
}
});
function compareWithDatabase(userInput, database) {
let similarity = 0;
for (const source of database) {
// Code to compare the user input with each source in the database using an algorithm
// Add to the similarity value based on the level of similarity
}
return similarity / database.length; // return the average similarity value
}
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