AI-Powered Mood-Based Route Planning

Role: Product Designer & Researcher

Focus: Mood Detection, AI Integration, Personalized Experiences

Tools: Firebase, Google Cloud Vision, OpenAI API (for natural language analysis)

🧩 The Problem

Cycling isn't just about reaching a destination; it's about the experience. Most cycling apps are optimized for efficiency, but they don't consider the rider's emotional state. A stressed rider might prefer a calming route, while an energetic one might crave something more challenging.

There was a gap for a system that could adapt cycling routes based on a rider's mood, creating a more personalized journey.

💡 The Idea

Ciclo uses AI to analyze a rider's emotional state through a quick selfie. Based on the mood detected, the system generates a personalized cycling route.

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Whether you're feeling calm, energetic, or neutral, Ciclo matches the right route to enhance your cycling experience.

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🧪 Research Insights

• Mood Detection: Using facial affect analysis to assess emotional state through selfies.
• Route Preferences: A survey revealed that 78% of cyclists would prefer routes that align with their mood.
• Impact on Cycling Experience: Mood-based routes can increase engagement and enjoyment, leading to a better overall cycling experience.

🛠️ How It Works