Let's ON:DRIVE

🚗 Inspiration

Many solo drivers are vulnerable to drowsy driving — especially after long workdays or emotional exhaustion.
In fact, 16–21% of police-reported fatal crashes involve drowsy driving newsroom.aaa.com.
Even more alarming: drivers often don't realize they're in danger — they may experience 3–5‑second microsleeps, unknowingly dozing off behind the wheel .

We wanted to create something that felt more like a companion in the car, not just a machine.
Inspired by that quiet wish for "someone to talk to while driving," we built an AI agent that truly cares.

🤖 What it does

Let’s ON:DRIVE is an emotion-aware in-car AI agent that helps prevent drowsy driving accidents.
It recognizes driver fatigue and emotional cues, and responds by recommending nearby places like restaurants or quiet cafés, or by suggesting relaxing music — just like a thoughtful friend sitting beside you.

🔧 How we built it

We used:

• Colab + Python to extract departure and destination GPS coordinates and simulate emotional triggers
  
• n8n to automate workflows from location input to API-based recommendation
  
• Google Maps & Instagram APIs to fetch nearby personalized destinations
  
• UI mockups to explore how the agent could appear on a HUD with voice interaction (planned, not implemented yet)

🧱 Challenges we ran into

• Handling real-time location input and connecting it to n8n workflows
  
• Simulating emotional states and fatigue detection without physical sensors
  
• Designing a voice-friendly interface that feels empathetic but not distracting during driving

✅ Accomplishments we're proud of

• Built a functioning MVP in under 3 hours
  
• Delivered real-time, location-aware restaurant and content suggestions
  
• Developed a warm, emotion-centered interaction flow that feels closer to human support than standard automation

🎓 What we learned

We learned that even minimal AI systems, when designed with empathy and emotional intelligence, can provide deep support for solo drivers.
We also found that tools like n8n and open APIs make fast, human-centric prototyping possible even with limited resources.

🔮 What's next for Let’s ON:DRIVE

We’d love to:

• Integrate voice-based fatigue detection, such as yawning or tone shift
  
• Develop a full-screen HUD UI for real vehicle environments
  
• Connect to smart glasses for a mixed-reality driving assistant experience
  
• And most importantly, help every solo driver feel less alone and more understood on the road

Built With

• google
• n8n
• webhook