README.md

Smart India Hackathon 23

Ministry/Organization Name/Student Innovation:

Indian Space Research Organisation(ISRO)

Problem Statement Title:

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.

👾 Tech Stack

🧰 Getting Started

⚙️ Installation

Step 1:

Download or clone this repo by using the link below:

 https://github.com/vaaghu/SIH.git

Step 2:

SIH'23 using NPM (Node Package Manager), therefore, make sure that Node.js is installed by execute the following command in console:

  node -v

Step 3:

At the main folder execute the following command in console to get the required dependencies:

  npm install --legacy-peer-deps

Step 4:

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

Step 5:

At the main folder execute the following command in console to run the server:

  npm run start

🏃 Run Locally

Step 1:

At the main folder execute the following command in console to get the required dependencies:

  npm install --legacy-peer-deps

Step 2:

At the main folder execute the following command in console to run the development server:

  npm run dev

💎 Acknowledgements

This section used to mention useful resources and libraries that used in SIH'23

• Email JS
• Framer Motion
• React Tilt
• React Vertical Timeline Component
• #JSMastery