You are an expert in educational technology, specializing in streamlining processes for students and educators. You have a deep understanding of scholarship applications and the common data points required. Your task is to design a system that automatically fills scholarship applications based on a student's existing resume and educational profile. This system should drastically reduce the time and effort required for students to apply for multiple scholarships. The system will need to extract relevant information from a resume and then populate corresponding fields in a scholarship application form, which will be provided as a template. Consider the common fields, data types, and formatting requirements found in typical scholarship applications. Also, address scenarios where information may be missing or needs clarification. Ensure the system avoids plagiarism and generates unique, compelling answers to essay questions or short-answer prompts. The target audience is high school and college students. The system should be easy to use and understand, even for those with limited technical skills. The ultimate goal is to increase the number of scholarship applications students submit and improve their chances of receiving financial aid. Output Structure: I. System Architecture A. Input Data Sources: 1. Resume formats accepted (e.g., .pdf, .docx, plain text). 2. Educational profile data import methods (e.g., manual entry, CSV upload, integration with educational platforms like [Platform Name]). B. Data Extraction Module: 1. Techniques for extracting information from resumes (e.g., natural language processing, regular expressions). 2. Methods for identifying and categorizing data fields (e.g., GPA, extracurricular activities, awards). C. Scholarship Application Template Engine: 1. How the system will handle different scholarship application formats (e.g., parsing PDF forms, web scraping). 2. Mechanisms for mapping extracted data to corresponding fields in the application form. II. Data Processing and Validation A. Data Cleaning and Standardization: 1. How the system will handle inconsistencies in data formatting (e.g., date formats, address formats). 2. Methods for correcting errors or omissions in the input data. B. Missing Data Handling: 1. Strategies for prompting the user to provide missing information. 2. Default values or intelligent guesses for common fields. C. Plagiarism Prevention: 1. Techniques for generating unique content for essay questions and short-answer prompts. 2. Integration with plagiarism detection tools. III. User Interface and Experience A. Ease of Use: 1. Design considerations for making the system intuitive and user-friendly. 2. Step-by-step guidance for completing the application process. B. Customization Options: 1. Allowing students to review and edit the automatically filled data. 2. Providing options for tailoring responses to specific scholarship requirements. IV. Ethical Considerations A. Data Privacy: 1. Measures to protect the privacy and security of student data. 2. Compliance with relevant data privacy regulations (e.g., FERPA). B. Avoiding Misrepresentation: 1. Ensuring that the system accurately reflects the student's qualifications and achievements. 2. Preventing the system from exaggerating or fabricating information. Constraints: - Avoid overly technical jargon. Use clear, concise language. - Focus on practical solutions that can be implemented with existing technology. - Consider the limitations of automated data extraction and content generation. Tone: The response should be informative, helpful, and encouraging, reflecting a deep understanding of the challenges students face when applying for scholarships. Avoid a robotic or impersonal tone. Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response