Milo Mate

MM Query example
Breakdown - Issue 1
Japanese query example with voice capability
Complete Architecture and Workflow
Privacy Tab
Breakdown - Issue 2
Breakdown - Issue 3
Breakdown - Issue 4
live transcription

🌟 Inspiration

Customer service today suffers from slow responses, language barriers, and fragmented tools. We wanted to build something that makes every interaction instant, intelligent, and inclusive — without sacrificing user privacy. Our goal was to create a multilingual AI assistant that runs directly in the browser, delivering human-like support while keeping data entirely local.

⚙️ What It Does

Milo Mate is a Chrome extension that transforms customer support workflows. It enables:

🌍 Real-time multilingual voice chat with automatic translation
🧠 Intelligent content understanding from any webpage
📝 Live meeting transcription and summarization
🖼 Multimodal query support (text + images) for complete context
All powered by on-device Gemini Nano and RAG-based intelligence, ensuring fast, private, and context-aware assistance.

🏗 How We Built It

Built as a Chrome extension, Milo Mate integrates:

🎤 WASAPI for real-time audio capture and processing
⚡ Gemini Nano + RAG for semantic retrieval and generation
🔍 Vector embeddings for content similarity search
🔐 On-device inference to guarantee data privacy and zero server dependency

🚧 Challenges We Ran Into

Capturing system audio reliably across platforms
Achieving real-time voice translation with <500ms latency
Integrating multimodal AI (text + image) seamlessly within Chrome’s APIs

🏆 Accomplishments We’re Proud Of

🌐 9+ language support with sub-second response times
🗣 Real-time transcription and summarization under 5 seconds
🔒 Fully privacy-first architecture, running entirely on-device

💡 What We Learned

The power of hybrid AI (online + offline) for scalability and privacy
How efficient vector search drastically improves retrieval accuracy
The importance of user-centric UI/UX for AI tool adoption in customer support