---
title: "Discussion on \"Building CivicAI : Part 2: Training the ML Pipeline That Powers It All\" | Hashnode"
description: "Discussion on \"Building CivicAI : Part 2: Training the ML Pipeline That Powers It All\". How I built two ML models from scratch, a TF-IDF text classifier and Random Forest priority scorer  and serialized them for production."
url: "https://hashnode.com/posts/building-civicai-part-2-training-the-ml-pipeline-that-powers-it-all/6a0caaa3883727741181f13d"
---

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# [Building CivicAI : Part 2: Training the ML Pipeline That Powers It All](https://ai-ml-datascience-from-scratch.hashnode.dev/building-civicai-part-2-training-the-ml-pipeline-that-powers-it-all?utm_source=hashnode&utm_medium=feed)

How I built two ML models from scratch, a TF-IDF text classifier and Random Forest priority scorer and serialized them for production.

May 19 · 11 min read · ai-ml-datascience-from-scratch.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#ml](https://hashnode.com/tag/ml)
-   [#ai](https://hashnode.com/tag/ai)
-   [#frontend-development](https://hashnode.com/tag/frontend-development)
-   [#backend](https://hashnode.com/tag/backend)
-   [#pipeline](https://hashnode.com/tag/pipeline)
-   [#logistic-regression](https://hashnode.com/tag/logistic-regression)
-   [#random-forest](https://hashnode.com/tag/random-forest)

## Written by

[wajahat taj](https://hashnode.com/@Wajahattaj)

@Wajahattaj · islamabad

  
[View profile](https://hashnode.com/@Wajahattaj)

Software Engineering student at FAST-NUCES University.

Software Engineering student at FAST-NUCES building full-stack AI-powered systems end-to-end. I work across the full stack: Frontend: React.js & Next.js Backend: FastAPI & Express.js Mobile: React Native ML & NLP: scikit-learn, TF-IDF, Logistic Regression, Random Forest , XG-Boost , ANN. Deployment: Docker, Render, Vercel I don't just study ML concepts — I integrate them into real products and ship them. Currently going deeper into backend architecture, scalable API design, MLOps, and production deployment pipelines. Because writing code is just the beginning — shipping systems that work in the real world is the goal.

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