QSense came from wanting tech that actually helps people slow down instead of adding more noise. I wanted to build a smart assistant that fits into everyday life, supports reflection and faith, and feels intentional rather than overwhelming.
During the hackathon, I focused on building a voice-based assistant that can listen, understand natural speech, and respond thoughtfully. One of the biggest challenges was getting live speech recognition to work reliably in a loud environment and managing wake words, timing, and responses without things breaking.
Overall, this project pushed me to think more deeply about real-time systems and how small design choices make a big difference in how technology feels to use.
Built With
- esp32-with-c++
- fastapi
- next.js
- openai-api
- python
- pyttsx3
- react-native
- sounddevice
- whisper
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