Welcome to the SmokeSense website repository! This website serves as a platform for smoke detection using IoT data and machine learning techniques. It provides real-time monitoring, analysis, and alerts to help detect and prevent smoke incidents promptly.
This is a project done under the guidance of SmartInternz for the course Applied data science
Team members- AKASH R 20BCE1501 Github: akash-r34
- SUDARSUN S 20BCE1699 Github: Sudarsun-S
- MATHAV KRISHNAN S 20BCE1139 Github: Mathav-Krishnan-S
- SAMEER AHSAN 20MIS1191 Github: Sameer-Ahsan
- Real-time data visualization (still in development): Visualize live sensor data, including temperature, smoke levels, and other relevant parameters, through intuitive charts and graphs.
- Instant alerts and notifications (still in development): Receive immediate alerts via email, SMS, or push notifications when a smoke event is detected, enabling swift response and containment.
- Historical data analysis: Dive into historical data, uncover trends, and gain valuable insights to inform smoke prevention strategies.
- User management (still in development): Create an account to personalize your experience, manage notification preferences, and customize data visualization options.
- Support and contact: Access comprehensive support resources, FAQs, and get in touch with our team for assistance.
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Clone the repository:
git clone https://github.com/akash-r34/Smoke-detection-using-Machine-learning -
Install the required dependencies:
cd Smoke-detection-using-Machine-learning npm install -
Configure the necessary settings:
- Update the database credentials and API keys in the configuration file.
- Customize the website appearance and settings as needed.
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Start the development server:
npm start -
Access the website: Open your web browser and visit http://localhost:3000 to access the SmokeSense website.
- Front-end: HTML, CSS, JavaScript, Flask
- Back-end: Node.js, Express.js
- Database: MongoDB
- Machine Learning: Python, scikit-learn, TensorFlow
We welcome contributions from the open source community to enhance the SmokeSense website. If you find any issues or have suggestions for improvements, please open a new issue or submit a pull request.
For any inquiries or support, please email us at akash34srinivasan@gmail.com.
We appreciate your interest in SmokeSense and thank you for visiting our website!