Fetal Echo Anomaly Diagnosis

Job ID: 40064691

Budget: ₹12,500 – ₹37,500 INR

I will provide a series of roughly ten short, step-by-step textual findings taken from each fetal echocardiography study. From that limited yet ordered input I need a small, reproducible tool that reads those notes and returns a concise diagnostic summary focused purely on structural anomalies—specifically heart-chamber defects, valve abnormalities, and vessel misformations.

The logic can be rule-based, a lightweight machine-learning model, or a hybrid; the main requirement is that it can reliably convert the ten inputs into a clear, single-screen report that states:

• whether an anomaly is detected
• which of the three structural categories it falls under
• a brief rationale that echoes the original wording for traceability

Please include:

• Source code (Python is ideal, but I am open to alternatives if you document setup clearly)
• A short README explaining how to run the script and retrain or adjust rules when new findings are added
• A test run on at least three mock cases to show the output format and verify classification logic

Keep the solution lightweight; there is no access to the raw ultrasound images or Doppler data, only the written findings captured at each of the ten fetal echo steps.