MED-LENS — Al-based tool for preliminary diagnosis of Dermatological manifestations

Access to healthcare for skin diseases is challenging, particularly in rural areas, due to limited specialized services, long waiting times, and low awareness. The Med Lens project aims to address these disparities with user-friendly skin disease detection, diagnosis, and consultation services. It leverages technology, including Raspberry Pi 4 Model B and CNNs, to enhance disease detection and provide information The hardware uses Raspberry Pi 4 Model B with a camera module and LCD screen for image capture and display. The software employs CNNs to identify skin diseases accurately, generating detailed medical reports. Database management and cloud technologies ensure data integrity and accessibility. A user-friendly GUI simplifies interactions, allowing input of patient data and delivering rapid, accurate results. This research yielded a positive result achieving a test accuracy of 92.78% and a very low-test loss of 1.11% Med Lens aims to reduce healthcare disparities and improve dermatology care in underserved areas, enhancing patient outcomes.