Indoor Environmental Monitoring System (IEMS) - Enhancing Indoor Environments for Health and Productivity

Overview

The Indoor Environmental Monitoring System (IEMS) is an innovative solution that monitors and optimizes indoor environmental quality (IEQ) through real-time data collection and AI-driven insights. It helps ensure a healthier and more comfortable environment in various settings, including homes, offices, schools, and healthcare facilities.

Purpose and Problem Solved

IEMS addresses the critical issue of poor indoor environmental quality, which can lead to health problems, reduced productivity, and discomfort. By providing real-time monitoring, analysis, and actionable recommendations, IEMS empowers users to make informed decisions about their indoor environments.

Key Features

1. Real-Time Data Monitoring: Continuously tracks air quality, temperature, humidity, and other IEQ parameters.
2. Historical Data Logging: Enables trend analysis and long-term environmental monitoring.
3. AI-Driven Analysis: Provides actionable insights and recommendations based on collected data.
4. User Interface (UI/UX): Designed for seamless interaction on both web and mobile platforms.
5. Alerts and Notifications: Immediate alerts for any significant changes in indoor conditions.
6. Personalized Profiles: Customizable settings based on individual health conditions and preferences.
7. Backend Development: Supports user interactions and remote control of environmental conditions.
8. Data Visualization: Interactive charts and graphs for easy data interpretation.
9. External API Integration: Enhances functionality with additional data like weather information.
10. Machine Learning Model Training: Improves the accuracy of AI-driven insights over time.

Benefits

• Health Improvement: Reduces the risk of respiratory and cognitive issues.
• Increased Productivity: Enhances focus and performance in healthy environments.
• Energy Efficiency: Optimizes settings to reduce energy costs.
• User-Friendly Interface: Accessible to both technical and non-technical users.

Visualizations

• System Architecture Diagram: Illustrates sensor integration, data processing, and user interfaces.
• Dashboard Screenshot: Displays real-time monitoring data and insights.
• Data Trends Graph: Visualizes historical data and trends over time.
• Alerts and Notifications Mockup: Example of real-time alerts displayed to users.

Getting Started

1. Clone the repository from GitHub.
2. Set up the required environment.
3. Deploy the application on a compatible device.
4. Configure sensors and personalize settings.

Installation

git clone https://github.com/MajorAbdullah/iems_2.0.git
cd iems_2.0

Follow setup instructions in the repository

License

This project is licensed under the MIT License. See the LICENSE file for more details. This code is protected under an "All Rights Reserved" license. You must obtain explicit permission from the copyright holder before using, distributing, or modifying this work.

Contributing

Contributions are welcome! Please fork this repository and submit a pull request for review.

Contact

For any queries or suggestions, feel free to reach out:

• Email: sa.abdullahshah.2001@gmail.com
• LinkedIn: Syed Abdullah Shah