A Novel Scheme For Skin Disease Detector Using CNN & Raspberry Pi
A Novel Scheme For Skin Disease Detector Using CNN & Raspberry Pi
ABHILASH T1 , AMAL A2 , MUHAMMEDH SHIBIN K P3 , PRAVEEN P4 &DR.SANDEEP C S 5
Students[1,2,3,4],Department of ECE. Jawaharlal College Of Engineering & Technology, Palakkad, kerala Assosciate professor[5], Department of ECE. Jawaharlal College Of Engineering & Technology, Palakkad, Kerala
abhilashthazhathethil.t@gmail.com1;amalvaikkakkara@gmail.com2;praveenakalurap@gmail.com3;mhdshibin002@gmail.com4;dr.sandeep.cs @gmail.com5
Abstract—This paper proposes deep learning for diagnosing Skin diseases using raspberry pi. Utilizing computational techniques, the system analyzes and processes image data, filtering out noise, and predicting disease types using a CNN algorithm. The output is predicted on an IOT page
Keywords—Deep learning, Image processing, CNN, IOT