Ambient Intelligence & Real-Time Proximity Matching Platform
EchoSync is a privacy-first, low-latency proximity discovery system that passively listens to ambient conversations, sanitizes personal identifiable information (PII) on-device, extracts vector interest tokens, and matches nearby users in real-time within a 15-meter radius.
- On-Device PII Scrubbing: Utilizes local LLMs (Llama-3-8B) to redact sensitive data before any vector embedding is processed.
- 15-Meter Match Radar: Real-time spatial tracking and visual sonar interface displaying passive and active connections.
- Ephemeral Match Feed: Self-destructing match cards governed by a strict 15-minute Time-To-Live (TTL).
- AI-Generated Icebreakers: Contextual, dynamic prompt suggestions designed to initiate immediate, real-world conversations.
- Haptic Proximity Feedback: Subtle physical cues sent to mobile clients upon detecting high-similarity interest vectors.
- Mobile App: Built with Flutter (Cross-platform iOS/Android) featuring native haptic engine integration and custom radial canvas drawing.
- Command Center: Web dashboard built with React / Next.js, Tailwind CSS, and Lucide Icons for operational monitoring.
- Core API: High-performance REST & WebSocket server built with Go (Golang).
- Privacy Firewall: Local Llama-3-8B inference engine running on-device or via edge worker node for zero-trust transcript scrubbing.
- Proximity Engine: Geo-fencing & spatial vector indexing using Redis Geo and pgvector (PostgreSQL).
| Desktop Command Center | Mobile Radar & Icebreaker View |
|---|---|
| Multi-panel operations dashboard featuring live PII pipeline, spatial radar, and ephemeral feed. | Flutter mobile layout showing real-time proximity radar and generated icebreaker prompts. |
- Go
1.22+ - Flutter SDK
3.19+ - Node.js
20+& pnpm - Docker & Docker Compose