EcoSentry is an open-source initiative dedicated to the preservation and protection of our forests. Using advanced AI and satellite imagery, EcoSentry monitors and safeguards trees against illegal logging and deforestation.

• Tree Monitoring: Utilizes cutting-edge AI algorithms to count and monitor trees in forested areas.
• Deforestation Detection: Identifies and alerts authorities about suspicious tree-cutting activities.
• Real-time Updates: Provides real-time updates on forest health and changes.
• User Reporting: Empowers users to report illegal logging incidents with location details and images.
• Open Collaboration: Welcomes contributions from developers worldwide to enhance the platform's capabilities.

• Python 3.x
• TensorFlow
• MERN stack
• Dataset

1. Clone the repository:

   git clone https://github.com/Arman001/eco-sentry.git
   

EcoSentry is open-source software licensed under the MIT License.

For questions or feedback, please reach out to us at [email protected].

This is a Next.js project bootstrapped with create-next-app.

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.