Indian Space Research Organisation(ISRO)
SIH 1521 - Development of Explainable AI (XAI) based model for prediction of heavy /high impact rain events using satellite data
Development of an AI-based nowcasting model for predicting heavy precipitation events using INSAT-3D/3DR satellite data. Our system includes an explainable AI module (XAI) to enhance interpretability. The final output is delivered through a user-friendly web application, showcasing model accuracy and providing explanations for the generated predictions. This marks the achievement of our goals for SIH'23 Final.
Download or clone this repo by using the link below:
https://github.com/vaaghu/SIH.git
SIH'23 using NPM (Node Package Manager), therefore, make sure that Node.js is installed by execute the following command in console:
node -v
At the main folder execute the following command in console to get the required dependencies:
npm install --legacy-peer-deps
At the main folder execute the following command in console to creates a build directory with a production build of SIH'23:
npm run build
At the main folder execute the following command in console to run the server:
npm run start
At the main folder execute the following command in console to get the required dependencies:
npm install --legacy-peer-deps
At the main folder execute the following command in console to run the development server:
npm run dev
This section used to mention useful resources and libraries that used in SIH'23