AI Classification System

Overview

Built intelligent document classification system using Python, TensorFlow, and custom neural networks. Achieved 94% accuracy on production data.

The Challenge

Manual document classification was taking 40+ hours per week and prone to human error.

The Solution

Developed custom NLP pipeline with transfer learning from BERT, fine-tuned on client-specific data. Built RESTful API with FastAPI for seamless integration.

The Outcome

Reduced classification time by 95%, improved accuracy from 78% (human) to 94% (AI), saving client $120K annually.

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