A webapp for disease recognition and symptoms analysis || Models : KNN , K-Means , Support Vector Classifier and Convolutional Neural Network
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README.md

Disease and Infected Area Recognition using CNN , KNN , SVC and K-Means

Overview

In this project we do disease recognition through two possible and feasible ways of Image Processing and symptoms analysis using state of the art Convolutional Neural Network , KNNeighbours and Support Vector Classifier of Deep learning and machine learning techniques . We aim to cluster patients with similar symptoms located closely on geo-location using ML clustering algorithms and plot the infected polygons on a map template for analysis and quick actions. Further it could be extended to identification of blood donation requirement areas and also medicine prespcription based on the data and provide relevant surveys.

Demo Video

Disease recognition