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JAI Behavioural: Burnout Recovery & Assessment Platform (JIT)

Next.js TypeScript Firebase AI Powered

Executive Summary

This repository contains the frontend and backend codebase for the JAI Behavioural web platform.

Built to operationalise the proprietary NEU Framework, this application serves as a scalable digital intervention tool for occupational burnout. It translates clinical behavioural science research into an interactive user experience, allowing individuals to:

  • assess burnout domains
  • receive AI-driven insights
  • access personalised recovery exercises

The platform demonstrates the intersection of organisational psychology and full-stack development, delivering data-driven interventions through a modern web architecture.

Built to operationalise behavioural science research into a scalable organisational wellbeing infrastructure.


Platform Preview

Burnout Dashboard

JIT Dashboard


Recovery Intervention Flow

JIT Recovery Intervention Flow

NEUY Interaction

Screenshot 2026-05-14 at 10 04 25

Core Features

Dynamic Burnout Assessment

A guided evaluation flow (/assessment) that quantifies burnout across distinct psychological domains:

  • Emotional
  • Motivation
  • Relational
  • Cognitive

AI-Powered Insights (NEUY)

Integration of generative AI (NEUYChat and burnout insight flows) to synthesise assessment data into personalised, actionable recovery strategies.


Targeted Recovery Protocols

A dedicated exercise module (/exercises) offering evidence-based behavioural interventions tailored to the user's specific burnout profile.


User Dashboard & Analytics

Secure, authenticated portals (/dashboard) for users to track well-being trajectory and intervention efficacy over time.


Tiered Onboarding

Custom orientation flows (/onboarding, /tier-orientation) to seamlessly integrate users into the appropriate organisational or individual tracks.


Technical Architecture

This application is built with a modern, serverless technology stack optimised for performance and rapid iteration.

Frontend Framework

  • Next.js (App Router)
  • React

Styling

  • Tailwind CSS for responsive, accessible UI components

Backend & Infrastructure

  • Google Firebase
    • Firestore
    • Firebase Authentication
    • Firebase Hosting

AI Integration

Implements Genkit for structured AI flows (generate-burnout-insights.ts) to ensure reliable and compliant behavioural recommendations.

Development Workflow

Built using an AI-assisted development methodology, leveraging Claude Code to accelerate architecture design and component generation.

Language

  • TypeScript for end-to-end type safety and robust state management

Strategic Value

Beyond its technical implementation, this platform serves as a pilot architecture for scaling behavioural interventions.

By digitising the NEU Framework, the application allows for:

  • real-time data collection
  • continuous iteration of recovery protocols
  • quantifiable organisational wellbeing metrics

It is designed not just as a wellness tool, but as a strategic asset for structural burnout prevention.

About

AI-driven burnout assessment and recovery platform operationalising the NEU Framework through behavioural science, analytics, and personalised intervention systems.

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