This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend
What I Built
I built properly, a local first convo buffer.
I cant talk to my friends properly, not because i dont care,but mostly cauz i cant think of anything in the moment.
Via properly, i can take a 60sec voice note of my day and get a cue card for use in convos
Code
GitHub Repository: https://github.com/Clumsyoof/properly
Built with:
- Streamlit(UI)
- OpenAI Whisper(Local speech to text inference running on CPU)
-Gemma 2 (
gemma2:2b) via Ollama(Local open-weight LLM inference) - Local JSON Store
How I Built It
Audio is recorded in-browser via Streamlit's native audio buffer and handed to a local instance of
openai-whisper.The transcript is parsed into an episodic timeline stored strictly in a local JSON structure.
Ollama serves Google's open-weight
gemma2:2b. Using focused system prompts.
Why Does Open Innovation Matter?
A closed api needs telementry and zero privacy, something which I NEED if i am talking about my day in a 60 sec slot.

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