I built this project because I kinda wanted to build something different from what I usually build. It's a financial sentiment analysis tool using distilled FinancialBERT which was quantized to int8 to run smoothly on a cheap cpu-only VPS without consuming much CPU or Memory.

The Stack:

Inference: ONNX Runtime (Distilled FinancialBERT quantized to Int8).

Backend: Python (Celery) for the heavy lifting + a simple FastAPI app to serve the frontend.

Frontend: SvelteKit (visualizing the live data).

I wrote more about it here: https://mohammedeabdelaziz.github.io/articles/trendscope-mar...

You can view the repo here: https://github.com/MohammedEAbdelAziz/TrendScope

I am happy to answer any questions or discuss any thing related to it.

Thanks