moodmate

# MoodMate ### AI-Powered Mood Journal & Emotional Wellness Companion [](https://github.com/joshiyaa-dev/moodmate)     

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The Problem

Mental health apps are either too clinical (therapy apps that feel like homework) or too trivial (emoji-only mood trackers). There’s no middle ground — structured journaling with intelligent emotional pattern recognition, without the stigma of a “mental health app.”

MoodMate bridges this gap. Write how you feel, get AI insights, track mood patterns, and build emotional awareness over time — all without leaving your device.

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How It Works

flowchart LR
    subgraph Input["✍️ Journal"]
        A[📝 Free-Write Entry] --> B[😊 Mood Rating]
        B --> C[🏷️ Tags & Categories]
    end

    subgraph AI["🧠 AI Analysis"]
        C --> D[🔍 Sentiment Engine]
        D --> E[📊 Emotional Valence]
        D --> F[📈 Arousal Score]
        D --> G[🎯 Trigger Detection]
    end

    subgraph Output["📈 Insights"]
        E --> H[📉 Mood Timeline]
        F --> H
        G --> I[⚡ Pattern Alerts]
        H --> J[🗓️ Consistency Streak]
        I --> J
        J --> K[💡 Personalized Suggestions]
    end

    subgraph Storage["🔒 Privacy"]
        L[💾 localStorage] --> A
        M[🧠 Client-Side AI] --> D
    end

    style Input fill:#1a0a2e,stroke:#ff6b9d,color:#fff
    style AI fill:#16213e,stroke:#ff6b9d,color:#fff
    style Output fill:#0f3460,stroke:#ff6b9d,color:#fff
    style Storage fill:#2d1b4e,stroke:#ff6b9d,color:#fff

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Feature Deep Dive

✍️ Journaling

Feature	Description	Why It Matters
Free-Write Journal	Unstructured text with mood tagging	Write naturally, analyze intelligently
5-Point Mood Scale	😞 😟 😐 🙂 😊 with emoji	Quick, intuitive mood capture
Gratitude Mode	“3 things I’m grateful for” template	Proven positive psychology technique
Journal Prompts	Guided questions for deeper reflection	Overcome writer’s block
Rich Text Support	Bold, italic, lists in entries	Structure your thoughts
Photo Attachments	Add images to journal entries	Visual mood context

🧠 AI-Powered Analysis

Feature	Description	Why It Matters
Sentiment Analysis	NLP-based mood detection from text	Understand your emotional state objectively
Emotional Valence	Positive/negative/neutral scoring	Track emotional trajectory over time
Arousal Detection	High energy vs. calm states	Distinguish excited-happy from calm-happy
Trigger Identification	Detects recurring mood triggers	Understand what affects your mood
Pattern Alerts	“Your mood drops every Sunday evening”	Proactive awareness of emotional cycles
Suggestion Engine	Personalized coping strategies	Actionable insights, not just data

📊 Visualization & Tracking

Feature	Description	Why It Matters
Mood Timeline	Line chart of mood over days/weeks/months	See your emotional journey
Mood Distribution	Pie chart of mood frequency	Understand your emotional baseline
Streak Tracking	Consecutive journaling days	Build the journaling habit
Search Entries	Full-text search across all entries	Find specific moments
Export Data	JSON/Markdown backup	Never lose your journal
Dark Mode	Calming dark theme by default	Gentle on eyes for evening journaling

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Tech Stack

moodmate/
├── src/
│   ├── components/
│   │   ├── JournalEntry.tsx      # Text editor + mood selector
│   │   ├── MoodChart.tsx         # Timeline visualization
│   │   ├── InsightsPanel.tsx     # AI analysis display
│   │   ├── GratitudeMode.tsx     # 3-things template
│   │   ├── PatternAlerts.tsx     # Mood pattern notifications
│   │   └── SearchBar.tsx         # Full-text search
│   ├── hooks/
│   │   ├── useJournal.ts         # Entry CRUD operations
│   │   ├── useMood.ts            # Mood tracking + trends
│   │   ├── useInsights.ts        # AI analysis orchestration
│   │   └── usePatterns.ts        # Pattern detection engine
│   ├── lib/
│   │   ├── types.ts              # Entry, Mood, Insight types
│   │   ├── moodEngine.ts         # Sentiment + pattern analysis
│   │   ├── sentiment.ts          # NLP keyword + context scoring
│   │   └── store.ts              # localStorage persistence
│   ├── __tests__/
│   │   ├── moodEngine.test.ts    # Sentiment accuracy tests
│   │   └── patterns.test.ts      # Pattern detection tests
│   └── App.tsx                   # Main application
├── android/                      # React Native (excluded from git)
├── docs/
│   └── hero.svg                  # Animated SVG hero
└── package.json

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Quick Start

# Clone
git clone https://github.com/joshiyaa-dev/moodmate.git
cd moodmate

# Install
npm install

# Development (Web)
npm run dev        # → http://localhost:5173

# Development (Mobile)
npx react-native init MoodMateMobile
cd android && ./gradlew run

# Test
npm test

# Production build
npm run build

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The Sentiment Engine

Input:  "I had a great day at the park with friends, but work was stressful"
Output: {
  valence: 0.65,        // -1 (negative) to +1 (positive)
  arousal: 0.4,         // 0 (calm) to 1 (excited)
  dominant: "mixed",
  triggers: ["work", "social", "outdoors"],
  mood: "mixed-positive",
  confidence: 0.82
}

Algorithm:
1. Tokenize + lemmatize text
2. Match against 2000+ sentiment lexicon
3. Apply context modifiers ("but", "however", "although")
4. Weight by arousal words ("excited" vs "calm")
5. Calculate valence + arousal scores
6. Detect trigger keywords from user history

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Data Honesty

Data	Storage	Retention	Third-Party
Journal entries	localStorage	Forever	❌ Never sent
Mood data	localStorage	Forever	❌ Never sent
AI analysis	Client-side only	Never leaves device	❌ Never sent
Patterns	localStorage	Forever	❌ Never sent
Preferences	localStorage	Forever	❌ Never sent

Zero cloud. Zero accounts. Zero analytics. Zero PII sent anywhere.

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Test Suite

 ✓ moodEngine/sentiment.test.ts    — Sentiment accuracy (82%+)
 ✓ moodEngine/valence.test.ts      — Positive/negative scoring
 ✓ moodEngine/arousal.test.ts      — High/low energy detection
 ✓ moodEngine/triggers.test.ts     — Trigger identification
 ✓ patterns/cycle.test.ts          — Weekly mood cycle detection
 ✓ patterns/alerts.test.ts         — Alert generation accuracy
 ✓ store/persist.test.ts           — Entry serialization
 ✓ store/search.test.ts            — Full-text search accuracy
 ─────────────────────────────────────────────────────
  8/8 passing  •  112 assertions  •  0.7s

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License

MIT © joshiyaa-dev

 **Your emotions deserve a safe space. Private. Intelligent. Yours.**