AdvancedSoftware trackGB-CP-36

Clinical Letter Summariser with Safety Guardrails

Internship role: Clinical AI Research Intern. Summarise synthetic discharge letters for patients in plain English, detect hallucinated medications with a checker and report the faithfulness score.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Clinical AI Research Intern. Summarise synthetic discharge letters for patients in plain English, detect hallucinated medications with a checker and report the faithfulness score.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, LLM API, synthetic letters, evaluation harness

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

240-hour United Kingdom programme. NHS AI Lab and MHRA guidance frame LLM summarisation as a priority with strict safety evidence requirements.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.