AI-Driven Smart Home Remedy Advisor: Integrating Pytesseract Medicinal Plant Recognition And Llms For Real-Time Symptom And Image-Based Analysis

In an era where access to healthcare can be limited by geography, cost, or time constraints, the need for intelligent andaccessible health support systems is more critical than ever. This project presents a smart, AI-powered home remedy advisordesigned to provide users with real-time suggestions for natural remedies based on symptom inputs and visual content analysis.The system integrates Pytesseract for optical character recognition (OCR) of handwritten or printed symptom descriptions,medicinal plant recognition APIs for identifying natural treatment options from user-uploaded images, and Large LanguageModels (LLMs) for contextual understanding and generation of personalised remedy recommendations. The application enablesboth textual and image-based inputs, processing them with advanced AI to detect symptoms, match them with known herbaltreatments, and deliver safe, practical, and easily accessible home remedies. This multi- modal approach enhances usability andbroadens access to non- pharmaceutical treatment options, especially in rural or under- served communities. The solution isscalable and adaptable, with potential for integration into telemedicine ecosystems or wellness apps.