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๐Ÿง  MindAura

Predictive Mental Wellness & Emotion-Aware AI Support Platform

React TypeScript MentalHealth AI Deployment

MindAura is an AI-powered mental wellness platform designed to shift mental health support from reactive systems to predictive, personalized, and context-aware digital assistance.

The platform combines emotion-aware journaling, sentiment analysis, conversational AI, behavioral analytics, gamification systems, and wellness tracking into a modern privacy-focused support ecosystem.

๐ŸŒ Live Demo
https://mind-aura.vercel.app/


Overview

MindAura is designed as a next-generation mental wellness platform focused on proactive emotional support and intelligent behavioral tracking.

The system combines:

  • AI-powered journaling workflows
  • Context-aware conversational support
  • Predictive wellness analytics
  • Emotion-aware interaction systems
  • Gamified habit reinforcement
  • Multi-role dashboard experiences
  • Privacy-first architecture

The platform aims to create accessible and scalable emotional wellness support systems using intelligent user interaction pipelines.


Core Features

๐Ÿ“ AI-Powered Journaling

  • Guided journaling prompts
  • Emotion-aware interaction flow
  • On-device sentiment analysis
  • Mood trend tracking
  • Context-sensitive emotional insights

๐Ÿ’ฌ Context-Aware AI Chatbot

Interactive wellness chatbot with:

  • Suggestion chips
  • Emotion-sensitive responses
  • Conversational interaction memory
  • Dynamic support workflows
  • Future-ready LLM integration architecture

๐Ÿ“Š Predictive Wellness Analytics

Interactive analytics dashboards featuring:

  • Mood trend visualization
  • Mood distribution analysis
  • Sudden emotional drop detection
  • Wellness pattern tracking
  • Year-based emotional activity grids

๐Ÿซ SOS Wellness Support System

Emergency support workflows include:

  • Interactive breathing orb
  • Guided breathing exercises
  • Trusted contact alerts
  • Immediate emotional stabilization tools

๐ŸŽฎ Gamification Engine

Behavioral reinforcement systems include:

  • XP progression
  • Streak tracking
  • Levels and badges
  • Avatar customization
  • Habit reinforcement mechanics

๐Ÿ‘ฅ Multi-Role Dashboard System

Dedicated interfaces for:

  • Students
  • Faculty
  • Professionals

with personalized wellness tracking and analytics experiences.


๐Ÿ”’ Privacy-First Architecture

MindAura prioritizes secure and user-controlled wellness management through:

  • Local-first data storage
  • IndexedDB support
  • Optional cloud synchronization
  • One-tap data deletion
  • Privacy-aware interaction design

Tech Stack

Category Technologies
Frontend React, TypeScript, Vite
Styling Tailwind CSS, Framer Motion
Backend Supabase, PostgreSQL
Authentication Supabase Auth
State Management Zustand
Charts & Analytics Recharts
Storage IndexedDB + Supabase Sync

Platform Highlights

  • Predictive mental wellness workflows
  • Emotion-aware AI interaction systems
  • Behavioral analytics dashboards
  • Privacy-focused architecture
  • Context-sensitive conversational support
  • Gamified wellness reinforcement
  • Responsive modern UI/UX systems

Project Structure

src/
 โ”œโ”€โ”€ components/
 โ”œโ”€โ”€ hooks/
 โ”œโ”€โ”€ integrations/
 โ”œโ”€โ”€ lib/
 โ”œโ”€โ”€ pages/
 โ”œโ”€โ”€ store/
 โ”œโ”€โ”€ styles/
 โ”œโ”€โ”€ main.tsx
 โ””โ”€โ”€ app.tsx

supabase/
public/

Installation

Clone Repository

git clone https://github.com/n-ikitasingh/Mind-Aura.git

Move Into Project Directory

cd Mind-Aura

Install Dependencies

npm install

Environment Variables

Create a .env file:

VITE_SUPABASE_URL=https://your-project.supabase.co
VITE_SUPABASE_ANON_KEY=your-anon-key
VITE_SUPABASE_PUBLISHABLE_KEY=your-anon-key

Run Locally

Start Development Server

npm run dev

Open:

http://localhost:8080

Supabase Setup

  1. Create a new Supabase project
  2. Configure authentication settings
  3. Run migration scripts from:
/supabase/migrations

This creates required tables including:

  • profiles
  • check_ins
  • journal_entries
  • badges
  • chat_messages
  • sos_events

Applications

  • Predictive mental wellness systems
  • Emotion-aware AI assistants
  • Behavioral analytics platforms
  • AI-assisted journaling systems
  • Digital wellness ecosystems
  • Context-aware support interfaces

Future Improvements

  • Full LLM-powered therapy assistant integration
  • Voice-enabled conversational support
  • Multi-agent emotional support systems
  • AI-based crisis risk prediction
  • Advanced behavioral analytics
  • Wearable device integration
  • Personalized wellness recommendation engine

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Predictive mental wellness platform with AI-powered journaling, sentiment analysis, context-aware chatbot, analytics, and gamified habit tracking.

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