Smart Symptom-to-Care System Using AI and Machine Learning: Intelligent Health Diagnosis and Personalized Medical Guidance for Early Disease Detection
Year: 2025
Type: article
Abstract: In an increasingly digital world, individuals often seek online health guidance and face overwhelming, unreliable, and complex information. To address this, Smart Symptom-to-Care AI has been developed as a comprehensive and trustworthy web application serving as the first point of contact for personal health inquiries. Leveraging the advanced reasoning and structured data capabilities of Google’s Gemini API, the platform delivers a personalized, multi-faceted, and user-friendly experience. Its core feature, an AI-driven Symptom Analyzer, processes user-input health data to generate a list of probable conditions with confidence scores, impacts, and suggested home remedies. Recognizing the vital doctor–patient relationship, the system allows users to download a professional PDF report to facilitate informed discussions with healthcare providers. Additionally, the platform includes a real-time conversational AI Health Assistant, a detailed disease encyclopedia, emergency first-aid resources, and a local healthcare facility locator. Built with a modern, responsive React and Tailwind CSS frontend supporting both light and dark modes, the application exemplifies how ethical generative AI can be integrated into consumer health technology. By providing an intelligent and compassionate digital health companion, the Smart Symptom-to-Care AI fosters health literacy, reduces anxiety, and empowers users to take active roles in their wellness journey—bridging the critical gap from symptoms to professional care.
Institution: Jaihind College of Engineering
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4416049878