PersonaPath: AI-Driven Personality Assessment for Continuous Self-Growth
Harshit Srivastava, Aditya Chauhan, Tanu Chauhan, Vijay Joshi
Abstract
Consumer-facing personality platforms have proliferated without a corresponding improvement in scientific rigour or practical utility. Most deliver a one-time categorical label derived from instruments of questionable psychometric validity, and offer no mechanism for longitudinal growth tracking, integrated reflection tools, or AI-powered personalisation. This paper presents PersonaPath, a full-stack SaaS platform that reconceives personality assessment as an ongoing, adaptive process rather than a discrete event. The system is grounded in the empirically validated Big Five (OCEAN) model and augmented by Groq AI (LLaMA 3.3 70B), a large language model capable of generating psychologically nuanced, trait-combination-specific insights in under one second. Three integrated AI services—a deep personality analyser, a sentiment-aware reflective journal, and a context-anchored career coaching chatbot—form a unified self-development ecosystem that evolves alongside the user over time. Built on React.js, Node.js/Express, and MongoDB Atlas, and deployed on Netlify and Render, PersonaPath demonstrates that production-grade, AI-native psychological tools can be constructed and operated at zero infrastructure cost. The platform is live, publicly accessible, and production-tested.
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