A contemporary system called RAKSH, your personal disaster alarm system, is a cutting-edge tool that detects disasters in real time and aids in mitigation through an intuitive web interface. Real-time monitoring of natural disasters is made possible with our RAKSH, allowing for prompt and efficient responses. Our RAKSH can aid in the preservation of life and property by offering precise information on the location and intensity of disasters. Disaster relief workers can more effectively target their efforts and deliver supplies more quickly by using this information. Additionally, it may spot potential risks like fires or floods before they become an issue. During emergencies, RAKSH may be a vital tool for safeguarding public safety.

Raksh in Action!

You can try out Raksh at https://hack-nsut.igscs.in/ !

Running Raksh locally

Prerequisites

• Node.js
• MongoDB
• NPM
• Yarn
• Git
• python

Installation

• Clone the repository

• Install dependencies

• Start the server

• Open http://localhost:3000 to view it in the browser.

Note: You will also need to run the machine learning model locally. For that, follow the steps below:

• Open a new terminal window and navigate to the raksh directory.
• Create a virtual environment

• Activate the virtual environment

• Install dependencies

pip install -r requirements.txt

• Run the model

Contributing

• Fork the repository
• Clone the forked repository

• Create a new branch

git checkout -b <branch-name>

• Make changes and commit

git add .
git commit -m "commit message"

• Push changes to GitHub

git push origin <branch-name>

License

MIT

Contributors

• Agrima Gupta: Web Developer
• Apoorva Verma: IOT Developer
• Muskan Gupta: Web Developer
• Priya Sharma: ML Developer

Created with ❤️ by KasaiDevs at HackNSUT23