๐ ๏ธ Atarino โ Voice-Powered Local Service Assistant
๐ What inspired us
We were inspired by two things:
- The rapid progress in large language models (LLMs) and Model Context Protocol (MCPs)
- The everyday challenges faced by truck drivers and other service seekers who need quick, hands-free access to reliable info
Our goal was to build something practical, fast, and voice-driven to improve how people find and contact local businesses.
๐ก What it does
Atarino is a voice agent that connects with:
- ๐ง LLMs via MCPs
- ๐ฑ Telegram for finding news&updates in chats and communities
- ๐ Yelp to find and call local services
Users can speak naturally, and the agent:
- Understands their need
- Finds the best local business
- Lets them call the provider directly
๐ ๏ธ How we built it
We combined multiple cutting-edge tools into one pipeline:
- ๐๏ธ LiveKit (real-time audio)
- Deepgram for speech-to-text
- Anthropic LLM (via AWS Bedrock) for natural language understanding
- ElevenLabs for text-to-speech
- Deepgram for speech-to-text
- ๐งฐ Google ADK and Apify MCP actors to control service interactions
โ ๏ธ Challenges we ran into
- Unstable tool calling over voice interactions
- The Minimax LiveKit plugin failed to connect during deployment
- Integration between voice layers and MCPs was fragile under latency
โ Accomplishments weโre proud of
- Fully working end-to-end voice flow: from user query to phone call
- Real-time multi-agent coordination via LLM + MCP
- Connected Yelp results directly to actionable voice interface
๐ What we learned
- Deep dive into the Apify actors ecosystem
- New skills in voice AI, MCP orchestration, and latency handling
- Practical experience with AWS Bedrock, ElevenLabs, and LiveKit plugins
๐ฎ Whatโs next for Atarino
We plan to:
- Integrate this voice assistant into our main startup product
- Expand to other platforms like WhatsApp and web apps
- Add smart filtering and memory for richer conversations
Built With
- anthropic
- apify
- aws-bedrock
- deepgram
- elevenlabs
- google-adk
- livekit
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