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Train a CNN on public X‑ray or skin‑lesion datasets to flag images as normal vs. abnormal.

Assist in identifying anomalies in medical images

Engages patients through chat to provide health tips, appointment reminders, and symptom checks.

 Eases burden on clinics while improving patient engagement.

A classifier that learns from drug‑interaction databases to flag risky drug pairs.

Predict adverse interactions between medications to promote safe usage.

Predicts if a patient will miss their medical appointment.
Helps clinics reduce no-shows and improve scheduling efficiency.

A chatbot that asks about symptoms and suggests possible conditions using a symptom–condition lookup.

Empower users to perform preliminary health assessments.