Description

Project Title EcoGuard: IoT-Driven Monitoring of Illegal Waste Combustion in Seam Zone Communities
General Description
Residents of Israeli communities along the -Seam Zone- (border areas) suffer from severe air pollution caused by the unregulated disposal and burning of waste in illegal Palestinian landfills. These fires often involve hazardous materials like plastic, electronic waste, and tires, releasing toxic pollutants (PM2.5, CO, and VOCs) that drift across the border. This project aims to establish a localized, high-resolution monitoring network to track pollutant movement in real-time. By integrating environmental sensors with meteorological data, we will provide an empirical foundation for health alerts and policy advocacy.Project Scope
Describe the purpose and main objectives of the project. (Minimum 4-5 lines)
Project Scope The primary objective is to develop an end-to-end IoT system specifically tailored for the Seam Zone's unique geographical and political challenges. Students will design and deploy sensor nodes that measure particulate matter and toxic gas concentrations. The project goals include:

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Mapping -pollution plumes- to identify the exact sources of illegal burning.
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Correlating air quality drops with wind direction and speed data.
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Creating a public-facing dashboard to visualize air quality levels for affected residents.
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Providing data-driven insights to local authorities to facilitate cross-border environmental intervention.
Student Requirements We are looking for dedicated students who are passionate about environmental justice and technology. Requirements include:
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Teamwork: Ability to collaborate in a multi-disciplinary environment.
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Commitment: Full attendance in all weekly synchronization meetings.
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Motivation: High drive to solve real-world environmental crises.
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Independent Learning: Capability to research sensor calibration and cloud integration autonomously.
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Responsibility: Ownership over hardware components and data integrity

Development Tools
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Hardware: ESP32/Arduino microcontrollers, PM2.5 (SDS011) sensors, MQ-series gas sensors, and GPS modules.
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Communication: MQTT protocol, LoRaWAN, or Wi-Fi for data transmission.
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Backend & Cloud: Firebase or AWS IoT Core for data storage.
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Frontend: React or Grafana for real-time data visualization and mapping.
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Analysis: Python (Pandas/Matplotlib) for environmental data science.
Deliverables
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Specification Document: Detailed technical architecture and system requirements.
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YouTube Video: A 3-minute demonstration of the prototype and field results.
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Poster: A visual summary of the project’s impact and technology.
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Presentation: A comprehensive slide deck for the final project defense.
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GitHub Link: A clean, documented repository containing all firmware and dashboard code.

Additional Notes
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This project is conducted in collaboration with Naftali Yosef.
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The project team size is limited to 5 students.
- dvir chakim -dvirc@my.hit.ac.il For any questions, you may also contact: Shirany.hit@gmail.com
Air Quality Monitoring in Seam Zone Communities

Data Science

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task
