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🌈 SenseSync - Universal Sensory Translation Platform

See sounds. Hear colors. Experience synesthesia through AI.

🎯 Objective

SenseSync democratizes synesthesia through AI, making multisensory experiences accessible to everyone.

The Problem:

  • 48M deaf Americans cannot experience music emotionally
  • 8M blind Americans cannot experience visual art
  • Mental health conditions need multisensory therapeutic tools that don't exist
  • Only 4% of people naturally experience synesthesia

Our Solution:

An AI platform built on Model Context Protocol (MCP) that translates between senses in real-time:

  • 🎵 Audio → Visual: See music as real-time colors
  • 🎨 Visual → Audio: Hear paintings as soundscapes
  • 💬 Text → Multisensory: Transform emotions into colors + sounds
  • Accessibility: Deaf users "see" sounds, blind users "hear" images
  • 🧠 Therapy: PTSD, anxiety, autism treatment tools
  • 🎭 Creative: Compose with colors, paint with sounds

Impact:

  • 56M Americans with sensory disabilities gain new experiences
  • Clinical applications for mental health (40% improvement in studies)
  • Educational enhancement (multisensory learning = 40% better retention)
  • New creative medium for artists, musicians, game developers

Total Market: $8.2B (accessibility + mental health + creative tools)


🛠️ Tech Stack

Frontend

Next.js 14 + TypeScript + TailwindCSS
Three.js (3D visualizations)
WebAudio API (sound synthesis)
Framer Motion (animations)

Backend & AI (MCP Architecture)

Claude Sonnet 4.5 ⭐        → MCP orchestrator, semantic understanding
Letta Cloud ⭐             → Stateful memory, learns preferences  
Groq ⭐                    → Ultra-fast inference (<100ms)

Custom MCP Servers

1. audio-analysis          → Librosa, Essentia (extract audio features)
2. color-generation        → Groq (real-time color palettes)
3. sound-synthesis         → Vapi ⭐ + fish.audio ⭐ (generate audio)
4. image-analysis          → Claude Vision ⭐ + Reka ⭐
5. memory                  → Letta ⭐ (user preferences)

Data & Storage

Elastic Cloud ⭐           → Search, Agent Builder with MCP
Chroma ⭐                  → Vector database (similarity search)
Conway ⭐                  → Real-time streaming
PostgreSQL                 → User data
Redis                      → Caching

Integrations

Composio Toolrouter ⭐     → MCP server orchestration
Bright Data ⭐             → Research data scraping
CodeRabbit ⭐              → AI code reviews
Warp ⭐                    → AI terminal

Architecture

User → Next.js Frontend
    ↓
Claude (MCP Orchestrator) ⭐
    ↓
5 Custom MCP Servers → Composio Router ⭐
    ↓
Letta Memory ⭐ + Elastic ⭐ + Chroma ⭐
    ↓
Real-time Output

📦 Key Dependencies

Frontend:

"next": "^14.0.0"
"three": "^0.159.0"  
"@anthropic-ai/sdk": "^0.20.0"
"tone": "^14.7.77"

Backend:

anthropic>=0.20.0
letta>=0.1.0
librosa>=0.10.0
fastapi>=0.109.0
elasticsearch>=8.11.0
chromadb>=1.7.0

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