I will build an nlp text classification model using bert

Struggling to make sense of large volumes of text data? I build accurate, production-ready text classification models using state-of-the-art NLP techniques, including fine-tuned BERT and BioBERT.

With a background in AI/ML and hands-on experience in Deep Learning and NLP, I specialize in turning unstructured text into reliable, structured predictions whether it's classifying documents, analyzing sentiment, or building domain-specific classifiers.

In my Final Year Project, I built a medical text classification system analyzing radiologist MRI reports, fine-tuning BioBERT to reach 93.9% accuracy across multiple diagnostic categories. I also integrated LIME explainability so predictions aren't a black box.

What you'll get:

• A working classification model tailored to your dataset
• Clean, well-documented source code
• Performance report with accuracy metrics and confusion matrix
• Clear communication throughout

I bring the same rigor to every project as I did to my own research clean methodology, honest reporting, and models that actually work.

Have a dataset in mind? Message me before ordering so we can discuss the best approach.