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Inspiration

In a world full of technology, people still feel alone. Most solutions only respond when asked—but real support is about presence. Oki-Doki was inspired by the idea of creating something that doesn’t just wait for input, but stays, understands, and supports continuously.


What it does

Oki-Doki is a context-aware AI companion that monitors user behavior, understands emotional signals, and provides real-time support. It goes beyond conversation by turning insights into actionable nudges, helping users improve their mental well-being and daily habits.


How we built it

We built Oki-Doki as a multi-layered system combining:

  • AI models (Gemini) for reasoning, vision, and conversations
  • Supabase for backend, real-time sync, and storage
  • pgvector for semantic memory and personalization
  • A Python-based local agent for device-level awareness
  • ESP32 hardware integration for physical interaction
  • Speech stack (Whisper + TTS) for voice-based communication

We also implemented the Me-Do framework, which bridges emotional understanding (Me) with actionable outcomes (Do).


Challenges we ran into

  • Making AI responses feel emotionally accurate and human-like
  • Maintaining real-time performance across multiple systems
  • Handling privacy-sensitive user data responsibly
  • Integrating hardware and software seamlessly within limited time

Accomplishments that we're proud of

  • Built a working prototype with real-time interaction
  • Created a system that is proactive, not just reactive
  • Successfully integrated AI, hardware, and behavioral logic
  • Designed a unique human-centered AI experience

What we learned

  • Technology alone isn’t enough—empathy matters
  • Users value systems that understand without being asked
  • Real impact comes from action, not just insight
  • Building meaningful products requires both technical and emotional thinking

What's next for Oki-Doki

  • Enhance emotional intelligence with better AI models
  • Add voice and visual awareness for deeper context
  • Build a privacy-first architecture
  • Launch beta testing with real users
  • Scale into a full ecosystem of ambient AI companions

Demo video

https://drive.google.com/file/d/1n9O97OijyY3VhWEWojuTXZnZ2BTYCbyY/view

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