LLM | Beginner

Biomedical Named Entity Recognition

Biomedical Named Entity Recognition is structured for publishable student research and industry-aligned prototyping.

Methods

LLMs, retrieval, bioinformatics pipelines, benchmarking, and reproducible notebooks.

Expected Output

Prototype, benchmark report, poster, and publication-ready writeup.

Dataset: Public biomedical datasets Compute: CPU or Colab Specs: 16GB RAM, optional T4/L4 GPU Platforms: Kaggle, Colab, GitHub Classroom, Hugging Face Spaces Stack: Python, Django, pandas, scikit-learn, notebooks Publication: Strong IP: High GPU Required: No Colab Support: Yes GitHub Classroom: Yes AI Enabled: No RAG Ready: Yes