import React from 'react'; import ReactDOM from 'react-dom'; import { createTheme, ThemeProvider } from '@mui/material/styles'; import CssBaseline from '@mui/material/CssBaseline'; import { BrowserRouter } from 'react-router-dom'; import { Box, Typography, Paper, Container } from '@mui/material'; // Import the backstoryTheme // BackstoryAnalysisDisplay component const BackstoryAppAnalysisPage = () => { return ( Backstory Application Analysis Core Concept Backstory is a dual-purpose platform designed to bridge the gap between job candidates and employers/recruiters with an AI-powered approach to professional profiles and resume generation. Primary User Types
  • Job Candidates - Upload and manage comprehensive professional histories and generate tailored resumes for specific positions
  • Employers/Recruiters - Search for candidates, directly interact with AI assistants about candidate experiences, and generate position-specific resumes
  • Key Features For Candidates
  • Complete Profile Management - Create detailed professional histories beyond typical resume constraints
  • AI-Assisted Q&A Setup - Configure an AI assistant to answer employer questions about your experience
  • Smart Resume Generator - Create tailored resumes for specific positions using AI
  • Analytics Dashboard - Track profile views, resume downloads, and employer engagement
  • Privacy Controls - Manage visibility and access to your professional information
  • For Employers
  • Advanced Candidate Search - Find candidates with specific skills, experience levels, and qualifications
  • Interactive Q&A - Ask questions directly to candidate AI assistants to learn more about their experience
  • Resume Generation - Generate candidate resumes tailored to specific job requirements
  • Talent Pool Management - Create and manage groups of candidates for different positions
  • Job Posting Management - Create, manage, and track applications for job postings
  • Design Analysis Navigation Structure The application uses a role-based navigation system with:
  • Public Navigation - Home, About, Pricing, Login/Register accessible to all users
  • Candidate Dashboard Navigation - Profile, Backstory, Resumes, Q&A Setup, Analytics, Settings
  • Employer Dashboard Navigation - Dashboard, Search, Saved, Jobs, Company, Analytics, Settings
  • UI Patterns
  • Dashboard Cards - Both user types have dashboards with card-based information displays
  • Tab-Based Content Organization - Many screens use horizontal tabs to organize related content
  • Form-Based Editors - Profile and content editors use structured forms with varied input types
  • Three-Column Layouts - Many screens follow a left sidebar, main content, right sidebar pattern
  • Preview/Edit Toggle - Resume and profile editing screens offer both editing and preview modes
  • Filter-Based Search - Employer search uses multiple filter categories to refine candidate results
  • Mobile Adaptations The mobile designs show a simplified navigation structure with bottom tabs and a hamburger menu, maintaining the core functionality while adapting to smaller screens. Technology Integration AI Components
  • LLM Integration - Supports multiple AI models (Claude, GPT-4, self-hosted models)
  • Candidate AI Assistant - Personalized AI chatbot that answers questions about candidate experience
  • Resume Generation - AI-powered resume creation based on job requirements
  • Skills Matching - Automated matching between candidate skills and job requirements
  • External Integrations
  • Authentication - OAuth with Google, LinkedIn, GitHub
  • Data Import - LinkedIn profile import, resume parsing (PDF, DOCX), CSV/JSON import
  • ATS Compatibility - Integration with employer Applicant Tracking Systems
  • Vector Databases - Semantic search capabilities for candidate matching
  • Key Differentiators
  • Beyond the Resume - Focuses on comprehensive professional stories rather than just resume highlights
  • AI-Mediated Communication - Uses AI to facilitate deeper understanding of candidate experiences
  • Bidirectional Resume Generation - Both candidates and employers can generate tailored resumes
  • Configurable AI Personalities - Candidates can customize how their AI assistant responds to questions
  • Deep Analytics - Both candidates and employers receive insights about their engagement
  • Deployment Options The system supports multiple deployment architectures:
  • Self-hosted (on-premises)
  • Cloud-hosted (SaaS model)
  • Hybrid deployment (mixed cloud/on-premises)
  • Security and Privacy Considerations
  • Granular candidate privacy controls
  • Role-based access for employer teams
  • Data management options for compliance requirements
  • ); }; export { BackstoryAppAnalysisPage }