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Relationship pattern assessment with empathetic insights and character references using AI-powered analysis. Full-stack React/Node.js application with OpenAI GPT and Claude integration for dynamic psychological evaluations and privacy-first architecture.

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Partner Assessment Tool

Relationship Pattern Assessment: Confidential Insights and Character Analysis

Project Overview

The Partner Assessment Tool project was developed to address the need for accessible, confidential relationship guidance in an increasingly complex social landscape. Utilizing psychological assessment principles and character-driven insights, this full-stack web application provides users with personalized relationship evaluations while maintaining complete anonymity and privacy.

What We Did

  • Full-Stack Development: Built a comprehensive web application using React for the frontend and Node.js/Express for the backend, demonstrating proficiency in modern JavaScript development across the entire technology stack.

  • User Experience Design: Created an intuitive, multi-stage assessment flow that guides users through demographics collection, relationship evaluation questions, and personalized results delivery, ensuring a smooth and engaging user experience.

  • AI-Powered Analysis: Integrated Large Language Models (OpenAI GPT and Claude) to generate personalized, nuanced relationship insights based on user responses, creating dynamic and contextually relevant assessment results that go beyond static templates.

  • Character-Based Results System: Implemented a sophisticated results generation engine that delivers insights through relatable character personas, making complex relationship dynamics more accessible and actionable for users.

  • LLM Integration: Leveraged advanced AI models to analyze response patterns and generate tailored recommendations, demonstrating proficiency in working with modern AI APIs and prompt engineering for psychological assessment applications.

  • Privacy-First Architecture: Developed a session-based system that processes assessments without storing personal data, ensuring complete user anonymity while maintaining functionality through temporary session management.

  • Responsive Web Design: Engineered a mobile-first, responsive interface that provides consistent functionality across all devices, from smartphones to desktop computers.

Final Product

The culmination of this project is a professional-grade relationship assessment platform that combines psychological insights with modern web technology. Users can complete a confidential evaluation that analyzes their relationship patterns and receives personalized feedback delivered through engaging character personas. The application features real-time processing, secure session management, and a clean, trustworthy interface that encourages honest self-reflection.

The tool not only provides valuable relationship insights but also demonstrates advanced full-stack development capabilities, including API design, state management, AI integration, and deployment strategies. By combining assessment psychology with modern web development practices and cutting-edge AI technology, the application serves both as a functional tool for relationship guidance and a showcase of comprehensive technical skills including Large Language Model integration and prompt engineering.

Access the application: https://partner-assessment-tool.netlify.app/

Technical Implementation

  • Frontend: React 18 with modern hooks, responsive CSS, and comprehensive testing suite
  • Backend: Node.js/Express API with session management and secure data processing
  • AI Integration: OpenAI GPT and Claude APIs for dynamic content generation and personalized insights
  • Deployment: Multi-platform deployment using Netlify (frontend) and Railway (backend)
  • Architecture: RESTful API design with privacy-focused, database-less session handling

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Relationship pattern assessment with empathetic insights and character references using AI-powered analysis. Full-stack React/Node.js application with OpenAI GPT and Claude integration for dynamic psychological evaluations and privacy-first architecture.

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