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Videos
Car HMI — AI Diagnostics Demo
Process
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Concept
From static warning lights to conversational diagnostics
- Built a car dashboard prototype displaying real-time metrics for tire pressure, coolant levels, and battery status, driven from a separate controller device.
- Connected the dashboard to GPT-4o via ProtoPie Connect — when a metric moves into a problem range, the live data is sent to the AI for diagnosis.
- Designed the AI's response to be conversational rather than a generic alert: it explains what's wrong and suggests a specific next step, optionally read aloud via text-to-speech.
- Configured two parallel ChatGPT API connections in ProtoPie Connect so the dashboard could request and receive diagnoses without blocking the interaction.
Outcomes
- Demoed live at IAA Mobility 2025 in Munich — one of the world's largest mobility trade shows.
- Showed how ProtoPie can validate AI-driven automotive features using realistic, dynamic data rather than scripted demos.
- Established a reusable pattern — live sensor data into an LLM, paired with a conversational UI layer — for prototyping proactive vehicle assistant concepts.