HealLeaf

This study introduces HealLeaf, an intelligent healthcare chatbot designed to assist users in diagnosing potential illnesses through symptom analysis, offering preventative healthcare recommendations, and delivering information regarding appropriate medications. The platform incorporates a physician referral system utilizing a CSV-structured database containing healthcare provider information, including specializations, communication details, and practice locations. The illness identification component employs Random Forest methodology, developed and tested using medical information datasets. HealLeaf serves as a bridge between patients and medical practitioners by providing an accessible, efficient, and dependable preliminary healthcare support system. The algorithm demonstrates excellent accuracy, precision, and recall metrics, establishing its credibility as a supportive medical tool rather than a replacement for professional healthcare consultation. This document outlines the system framework, research approach, prediction processes, mathematical principles, algorithm enhancement, assessment criteria, and practical applications. The study emphasizes the growing significance of implementing advanced AI technologies in healthcare, particularly in environments where immediate access to professional medical services is restricted. The methodology adapts across diverse healthcare scenarios while enhancing both precision and dependability. Through incorporating contextual evaluation, enhanced data management, and ethical considerations including information security, the platform establishes patient confidence and participation. Upcoming enhancements will focus on multilingual capabilities, integration of regional healthcare patterns, and user interface optimization to develop a more comprehensive and efficient healthcare support system.