MediKiosk – AI-Powered Patient Case-Taking System

MediKiosk is a patient-facing clinical intake system designed to make the initial patient case-taking process faster, structured, accessible, and easier for healthcare staff.

The system provides an interactive, guided question-based workflow that collects patient information in a structured manner. It supports multilingual interaction, including English and Tamil, along with voice-related controls to improve accessibility.

A key feature of MediKiosk is its local-first AI approach. A locally running AI model can generate relevant follow-up questions based on the patient’s previous responses and assist in organizing the collected information into a structured clinical summary. This reduces dependence on external cloud AI services and helps keep patient data within the local system.

Key Features

• AI-assisted dynamic patient questioning
• Local AI processing
• English and Tamil language support
• Voice-based question and answer interaction
• Structured patient information collection
• Previous/Next question navigation
• Home and Back navigation
• Patient case summary generation
• SQLite support for local demonstrations
• MySQL support for deployment
• Privacy-oriented local processing

MediKiosk is intended as a clinical-support and patient-intake prototype. It does not provide medical diagnosis and is designed to assist healthcare workflows rather than replace qualified healthcare professionals.