mymediktor represents a significant advancement in mobile health technology, positioning itself as an AI-powered symptom assessment tool that processes user-described symptoms through natural language interpretation. Developed by Teckel Medical s.l., the application aims to replicate professional medical questioning patterns to generate potential condition lists and appropriate recommendations. The core functionality centers around an artificial intelligence engine that analyzes user-input symptoms in conversational language. Unlike checklist-based symptom checkers, mymediktor's natural language processing allows users to describe concerns in their own words, with the AI dynamically generating follow-up questions similar to those a healthcare professional might ask. This results in a ranked list of potential conditions accompanied by detailed descriptions from the app's medical dictionary and appropriate action recommendations ranging from self-care to emergency consultation. User experience demonstrates thoughtful design with a clean, intuitive interface that guides users through symptom description and subsequent questioning. The conversational approach reduces anxiety often associated with medical self-assessment, while the progressive questioning mechanism ensures comprehensive symptom evaluation. Real-world usage patterns indicate most interactions complete within 3-5 minutes, making it practical for immediate symptom concerns without requiring extensive medical knowledge from users. With a 4.74 App Store rating, user feedback consistently praises the application's sophisticated questioning logic and accurate preliminary assessments. Reviewers frequently note the system's ability to understand complex symptom descriptions and provide relevant follow-up questions that mirror clinical reasoning. The absence of specific reviewer names and dates in available data prevents individual attribution, but aggregate feedback suggests high satisfaction with the AI's diagnostic approach and educational content quality. The application demonstrates particular strength in its natural language processing capabilities and educational value, though it appropriately emphasizes its role as an informational tool rather than diagnostic replacement. Limitations include the inherent constraints of AI-based medical assessment and potential variability in recommendation accuracy. Ideal use cases involve preliminary symptom evaluation before professional consultation, health education, and tracking symptom patterns over time.