Emotion · Music · Ambience

Mood Music — Emotion-Aware Audio & Light Companion

A next-generation mood companion that senses how you feel and orchestrates music, visuals, and lighting to match — or gently shift — your emotional state.

Mood Music detects mood from touch, voice, and text, then suggests playlists and ambient scenes that support focus, calm, energy, or reflection. Built as a modular Flutter + Firebase system, it can run as a standalone app or as an embeddable mood engine for your existing products.

Ideal buyers

Wellness startups, journaling apps, productivity tools, and game studios.

Highlights

Multimodal mood sensing, playlists, visuals, lighting scenes, and journaling.

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Overview

What Mood Music is

Mood Music is an emotion-aware music and ambience companion. It listens to how users interact — taps, swipes, voice, and text — and turns those signals into mood-aware playlists and scenes. The engine behind it is designed to be portable across apps, from wellness products to games and productivity tools.

The problem it solves

Most music apps require users to manually pick tracks or playlists. Mood Music removes that friction by reading the user’s emotional context and instantly serving matching (or corrective) experiences. This helps users feel understood, supported, and gently guided toward their desired state.

Core features

From multimodal mood sensing to playlists, visuals, lighting, and journaling.

🎯 Emotion detection

Touch-based mood sensing from taps, swipes, and gesture patterns.
Voice-based cues via backend AI (tone, pace, intensity).
Text-based sentiment and theme analysis from prompts or journals.

🎵 Mood-aware playlists

Predefined moods: calm, hype, focused, reflective, cozy, and more.
“Match my mood” or “shift my mood” playlist strategies.
Pluggable connectors to your chosen music provider APIs.

🌈 Visuals & lighting

Animated mood visualizations, gradients, and particle effects.
Optional smart-light bridge for real room ambience.
Presets for sleep, focus, reading, and meditative scenes.

📓 Mood journaling

Logs mood snapshots with optional notes and tags.
Mood timelines and streaks (daily, weekly, monthly).
Insights on what music/ambience helped most.

🧠 Multimodal fusion

Combines touch, voice, and text into a single mood vector.
Tunable weights per deployment (voice-first, text-first, etc.).
Confidence scoring and fallbacks if one mode is missing.

🛡️ Privacy & safety

Per-user isolation via Firestore security rules.
Server-side AI calls so no secrets live in the client app.
Export/delete hooks for user data and mood history.

Architecture & package structure

Built as a modular Flutter monorepo for reuse across apps and platforms.

mood_music/
├─ apps/
│  └─ mood_music_mobile/
│     ├─ lib/main.dart
│     ├─ lib/app.dart
│     └─ lib/router.dart
└─ packages/
   ├─ mood_music_core_package/
   ├─ mood_music_touch_sensing_package/
   ├─ mood_music_voice_sensing_package/
   ├─ mood_music_text_sensing_package/
   ├─ mood_music_fusion_package/
   ├─ mood_music_recommendations_package/
   ├─ mood_music_visuals_package/
   ├─ mood_music_lighting_bridge_package/
   ├─ mood_music_analytics_package/
   ├─ mood_music_firestore_package/
   ├─ mood_music_settings_package/
   └─ mood_music_ui_package/

Sensing & fusion

mood_music_touch_sensing_package — tap/gesture-derived signal capture.
mood_music_voice_sensing_package — voice capture + AI emotion backends.
mood_music_text_sensing_package — text sentiment & topics.
mood_music_fusion_package — MultimodalEmotionFusion engine.

Tech stack

Flutter + Firebase with pluggable AI and music providers.

Layer	Technology
Frontend	Flutter 3.22+, Dart 3, Material 3 theming
State	Riverpod or Provider (injected via core package)
Backend	Firebase Auth, Firestore, Functions, Storage (optional)
AI	Pluggable emotion & sentiment providers via backend APIs
Analytics	Firebase Analytics + custom mood logs and charts
Integrations	Music streaming provider APIs, lighting bridges, webhooks

Getting started (developer)

Boot Mood Music locally with a standard Flutter + Firebase setup.

# Clone the repo
git clone https://github.com/your-org/mood_music.git
cd mood_music

# Install dependencies
flutter pub get

# Run the app
cd apps/mood_music_mobile
flutter run

Environment configuration

Use Dart defines for minimal, environment-agnostic builds:

flutter run   --dart-define=MOOD_MUSIC_ENV=dev   --dart-define=MOOD_MUSIC_API_BASE=https://api-dev.your-domain.com

Use cases

Standalone emotion-aware music & ambience app.
Mood companion embedded into a journaling or CBT app.
Focus mode in a productivity suite driven by actual mood data.
Dynamic soundtrack and ambience engine for games.

Interested in Mood Music?

Tell us how you’d like to use mood-driven music and ambience (wellness, journaling, productivity, or games). We’ll follow up with technical details and acquisition or licensing paths.