AI-Based Document Assessment Tool Development
Budget: $5,000 – $10,000 AUD
My project revolves around devising a top-notch AI software application that scrutinizes documents meticulously based on a range of pre-set criteria. The purpose of this software is to evaluate numerous intricacies of document writing and editing. The ideal applicants for this project should have a profound knowledge of AI and machine learning algorithms, as well as document assessment processes:
• Spelling Accuracy: It's crucial that the AI software can identify spelling inaccuracies efficiently.
• Grammar Accuracy: The tool must have the capacity to check grammar errors.
• Content Relevance: The AI should determine whether the content adheres to the topic or strays off-course.
• Plagiarism Checking: The tool should detect any instances of plagiarism to ensure content authenticity.
• Flair: The software should evaluate the readability and style of the text.
• Reference Usage: The AI must assess if references have been properly cited, supporting a specific formatting style based on user preferences (APA, MLA, Chicago).
• Depth of Research: The software should take into account the quantity and quality of references used in the document.
• Training: It ought to have the ability to calibrate using examples, and provide a grading system to assess each parameter.
• Back-end Functionality: To allow for criteria priority adjustments.
• Originality: It should appraise the novelty and unique insights found within the document.
Coders with experience in custom AI software development, particularly with projects that involve natural language processing, are ideal for this task. Knowledge of various referencing styles and document analysis would be advantageous.
• Spelling Accuracy: It's crucial that the AI software can identify spelling inaccuracies efficiently.
• Grammar Accuracy: The tool must have the capacity to check grammar errors.
• Content Relevance: The AI should determine whether the content adheres to the topic or strays off-course.
• Plagiarism Checking: The tool should detect any instances of plagiarism to ensure content authenticity.
• Flair: The software should evaluate the readability and style of the text.
• Reference Usage: The AI must assess if references have been properly cited, supporting a specific formatting style based on user preferences (APA, MLA, Chicago).
• Depth of Research: The software should take into account the quantity and quality of references used in the document.
• Training: It ought to have the ability to calibrate using examples, and provide a grading system to assess each parameter.
• Back-end Functionality: To allow for criteria priority adjustments.
• Originality: It should appraise the novelty and unique insights found within the document.
Coders with experience in custom AI software development, particularly with projects that involve natural language processing, are ideal for this task. Knowledge of various referencing styles and document analysis would be advantageous.