A lifesaving system to save individuals from snakebite envenoming using Custom Vision to identify the biting snake
https://nice-island-035cde910.1.azurestaticapps.net/
According to WHO, Snakebite is the most deadly neglected tropical disease (NTD), being responsible for a dramatic humanitarian crisis in global health. Snakebites causes human deaths, disability and disfigurement globally every year. It affects poor and rural communities in developing countries, which host the highest venomous snake diversity and the highest burden of snakebite due to limited medical expertise and access to antivenoms. Antivenoms can be life-saving when correctly administered but this often depends on the correct identification of the biting snake.
To address this problem in hand, I have developed a web app which helps to classify the species of biting snake using its image powered by Custom Vision. The snakebite victim or people near them takes an image of the biting snake and uploads it into the application which makes an API call to the Azure Custom Vision service to analyze the image and predict the species of the biting snake. In return the prediction of snake species is shown to the victim so that the antivenom is correctly administered to them. For the solution I have first created a resource group after which I have created a custom vision resource under which I have created an Azure Custom Vision model using snake images. After training of the model I have generated the API which I have integrated with the frontend of the application. Finally I have deployed the frontend of the application over Azure Static Web App Services. For the deployment of the frontend over Azure Static Web App first I created a resource group after which I have created a static web app resource to which I have connected my github repository containing the code and finally the application is build and deployed over Azure Static Web App Service.
