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--- |
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title: SmartAutoDoc |
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emoji: 🔧 |
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colorFrom: red |
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colorTo: green |
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sdk: gradio |
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sdk_version: 5.33.1 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: A multi-agent system to diagnose car issues from images |
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tag: agent-demo-track |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# SmartCarDoc |
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This application uses a multi-agent system to diagnose car issues from images and provide fix recommendations. It features two individual AI agents managed by a team agent: |
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- **Image Agent**: Extracts issue details from images |
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- **Info Agent**: Diagnoses the issue based on car details and vision output. |
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Developed for the Gradio MCP Hackathon 2025 (Track 3), this AI system addresses a common challenge faced by car owners. The difficulty of quickly diagnosing and resolving vehicle issues. The app empowers users to upload an image of the problem and receive instant, actionable repair advice. |
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## Tech Stack |
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- Agno AI: for building a multi-agent system that coordinates image analysis, information retrieval, and repair advice |
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- Gradio: for the UI |
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- Anthropic Claude: |
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- claude-3-5-sonnet: for the image analysis agent |
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- claude-3-haiku: for the other agents |
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🎥 Link to demo: https://screen.studio/share/DANMDJmc |
