All projectsCase study

Local-LLM News Classification

RSS + local model + deterministic rules to filter a noisy news stream.

PythonOllamaLLMRSS
BOT NEWS CRYPTO
01

Context

A noisy RSS feed needed automated classification.

02

Problem

Manual filtering did not scale and a paid cloud API was not desirable.

03

Solution

Python pipeline, Ollama and deterministic rules, followed by several weeks of forward testing.

04

Key lesson

For some classification tasks, a small local model plus rules is enough.

Under the hood

How the project actually works

Architecture, constraints, deliverables and real impact.

01 Python
02 Ollama
03 LLM
04 RSS
05

Impact

For some classification tasks, a small local model plus rules is enough.

Designed for real-world use
06

What this project demonstrates

I start from the problem and business flow, then aim for an observable, testable and maintainable solution rather than a demo effect.