Multi Step Form - Copy this React, Tailwind Component to your project

To help you structure a clear quotation for your MVP (Minimum Viable Product) of the interview prep SaaS app, I'll break it down into the major components you’ve mentioned, and estimate the development and design requirements for each. This will allow you to see what’s involved in building out the core features of the app. MVP Features Breakdown 1. User Input Flow Job Description Input Feature: A text input field or file upload option for the user to input the job description. Details: This section should support both direct text input and file upload (e.g., PDF, DOCX) to accommodate different user preferences. Expected Complexity: Medium (Text validation, file parsing). Job Preparation Description Input (Optional) Feature: A secondary text input field where users can describe the job they are preparing for, if it's a specific company or position. Expected Complexity: Low (Simple text input validation). Resume Upload Feature: File upload for the user's resume (PDF or DOCX format). Details: This will be used to analyze the user’s work history, strengths, and weaknesses. Expected Complexity: Medium (File validation, text extraction from files). 2. Analysis Engine Feature: The ability to analyze both the job description and the resume to identify strengths, weaknesses, and relevant skills. Details: This could involve parsing the job description and resume, identifying key skills, and matching those to potential interview questions. Expected Complexity: High (Natural Language Processing, resume parsing, job description analysis). 3. Question Generation Feature: Automatically generating interview questions based on the uploaded job description and resume analysis. Details: These questions should be tailored based on the job role (e.g., React Developer for front end programming positions). Expected Complexity: High (AI or rule based question generation, tailored to the job role and skills). 4. Answer Practice and Improvement Feature: Providing users with the option to generate answers based on their resume and the job description and allowing users to refine their answers. Details: Users can receive sample answers and refine them by providing feedback or instructions for improvement. Expected Complexity: Medium (AI generated responses, user interaction for answer improvements). 5. Form Submission Feature: Users will fill in the above sections (job description, job preparation description, and resume) and submit the form. Expected Complexity: Low (Standard form submission with data validation).