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https://github.com/nagipragalathan/nanotom

Nanotom is a comprehensive project designed to leverage nanotechnology for various innovative applications. This project focuses on the integration of cutting-edge nanotech with IoT (Internet of Things) and AI (Artificial Intelligence) to develop smart solutions for different industries.
https://github.com/nagipragalathan/nanotom

artificialintelligence crossindustryapplications iot nanotechintegration nanotechnology nanotom pythondjango realtimedata realtimedatabase techinnovation

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Nanotom is a comprehensive project designed to leverage nanotechnology for various innovative applications. This project focuses on the integration of cutting-edge nanotech with IoT (Internet of Things) and AI (Artificial Intelligence) to develop smart solutions for different industries.

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# Nanotom

Nanotom is a comprehensive project designed to leverage nanotechnology for various innovative applications. This project focuses on the integration of cutting-edge nanotech with IoT (Internet of Things) and AI (Artificial Intelligence) to develop smart solutions for different industries, including healthcare, agriculture, and environmental monitoring.

## Features

- **Nanotechnology Integration**: Utilizes nanotech devices for enhanced sensing and monitoring capabilities.
- **IoT Connectivity**: Connects nanotech sensors to the cloud for real-time data collection and analysis.
- **AI-Powered Analytics**: Employs AI algorithms to analyze data from nanotech sensors, providing actionable insights.
- **User-Friendly Interface**: Offers a web-based interface for monitoring and managing nanotech devices and data.
- **Cross-Industry Applications**: Applicable to healthcare, agriculture, environmental monitoring, and more.

## Technologies Used

- **Backend**: Python, Django
- **Frontend**: HTML, CSS, JavaScript
- **Database**: PostgreSQL
- **IoT Integration**: Various IoT devices and protocols
- **Machine Learning**: TensorFlow, Scikit-learn
- **Real-Time Data**: WebSockets for real-time data transmission

## Installation and Setup

### Prerequisites

- Python 3.x
- Node.js
- npm (Node Package Manager) or yarn
- PostgreSQL

### Steps

1. **Clone the Repository**

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`git clone https://github.com/NagiPragalathan/Nanotom.git
cd Nanotom`

2. **Backend Setup**

- Install Python dependencies:

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`pip install -r requirements.txt`

- Configure PostgreSQL database in `settings.py`.
- Run migrations:

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`python manage.py migrate`

- Start the Django development server:

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`python manage.py runserver`

3. **Frontend Setup**

- Navigate to the frontend directory:

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`cd frontend`

- Install Node.js dependencies:

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`npm install`

- Start the React development server:

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`npm start`

4. **Access the Platform**

Open your browser and navigate to `http://localhost:3000` for the frontend and `http://localhost:8000` for the backend.

## Project Structure

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```
Nanotom/
├── backend/
│ ├── nanotom/
│ │ ├── __init__.py
│ │ ├── settings.py
│ │ ├── urls.py
│ │ ├── wsgi.py
│ │ └── asgi.py
│ ├── sensors/
│ ├── users/
│ ├── analytics/
│ ├── tests/
│ └── manage.py
├── frontend/
│ ├── public/
│ ├── src/
│ │ ├── components/
│ │ ├── pages/
│ │ ├── services/
│ │ ├── App.js
│ │ ├── index.js
│ │ └── styles/
├── README.md
├── requirements.txt
└── package.json
```

## Usage

- **Dashboard**: Access a comprehensive dashboard to monitor nanotech sensors, view analytics, and manage devices.
- **Real-Time Monitoring**: View real-time data from connected nanotech devices.
- **Data Analytics**: Analyze collected data using built-in AI algorithms to generate insights and reports.
- **Device Management**: Add, update, and manage connected IoT devices and sensors.

## Contribution

Contributions to the Nanotom project are welcome! If you would like to contribute, please fork the repository and submit a pull request with your changes.

## License

This project is licensed under the MIT License. See the [LICENSE](https://chatgpt.com/c/LICENSE) file for details.