Our Mission Matters

We are a dedicated team pushing the boundaries of atmospheric pollution detection. Traditional methods are often slow, bulky, and reliant on air sampling, limiting coverage and delaying responses to hazardous conditions. In contrast, optical spectrometry offers a game-changing approach—providing rapid, wide-area monitoring and detecting pollutants at much lower concentrations than conventional sensors. This enables early intervention and a more proactive response to air quality threats.
Join Us

Our Team

We are working toward a future where clean air is a right, not a privilege. We have seen the sun veiled in ash, smoke, and dust. Having witnessed the immediate impacts of climate change—deadly winter smog and increasingly hotter summers—we refuse to let future generations endure the same plight. And so, we fight for a better future.
Fuzail Ibn Umar

Founder

Lead Researcher and Data Analyst

Hi! I’m an IB student at LGS JTI. I began this project in November 2024, collecting data during the peak of smog season. Currently, I’m involved in other conservation efforts, driven by my passion for environmental sustainability. Beyond this work, I’m also an aviation enthusiast.
Yusha Khawaja

Co-Founder

Senior Researcher and Environmental Advisor
Hello! My name is Yusha and I am an IB student at LGS JTI. I’m the president of our schools Environmental Action society. My work began when Fuzail showed me his convincing pilot research data that he had collected in November. And I formally became a part of the team when this project began in Feburary.
Muhammad Ahmad
Senior Researcher and Data Analyst
Hi! My name is Ahmad and I’m an A-levels student at ISL, inbound at Dartmouth College. I have been working with Fuzail on this project ever since we managed to secure a spectrometer from LUMS. We have had great success and hope to impact many lives with our on-going research, and conservation efforts.
Mustafa Salman
Junior Researcher and Data Analyst
Hi! My name is Mustafa and I’m an IB student at LGS JTI I got involved in this project because I wanted to dig deeper into the data Fuzail was collecting. With my background in math, I’ve been working on making sense of the numbers and developing systems to analyse them. It’s been interesting seeing how theory meets practice, and I’m looking forward to pushing our research further.
Tayyab Naveed
Public Relations

I am Tayyab, an IB student at LGS JTi. My experience in environmental sustainability has been shaped through various internships with NGOs, including Sight NGO, where I contributed to the planting of 1,000 trees in a single day. When Fuzail came up to me about his project in February, I was immediately interested and signed up to be a part of the team.

I am eager to contribute to this remarkable opportunity, with the hope that it will lead to a sustainable future.

Ayaan Azhar
Outreach Coordinator
Hey! My name is Ayaan and I am an IB student at LGS JTI. My journey into environmental concerns began with internships at Akhuwat and ITA, where I gained valuable experience in sustainability and community outreach. Inspired by these experiences, I officially became the part team in February when the project began. I am excited to contribute my skills to our mission of ensuring clean air.

Our Journey creating EcoDocs

Explore the significant milestones in our research journey. Each achievement reflects our commitment to advancing atmospheric pollution detection.

November 1st – November 8th

Our pilot research begins

During the initial phase of the research project, various methodologies for detecting airborne pollutants were explored and evaluated. The team conducted an extensive review of potential techniques, considering factors such as accuracy, feasibility, and accessibility. After thorough deliberation, spectrometry was selected as the primary method due to its ability to capture and analyze light spectra, which can reveal the presence of specific pollutants. The planning phase concluded with the finalization of experimental procedures, ensuring a standardized approach to data collection.

November 9th – November 18th

Data Collection and Standardization

Following the establishment of methodology, daily spectrometric readings were conducted at predetermined intervals to maintain consistency. Data collection adhered to a strict protocol to minimize external variables and enhance the reliability of results. Over the course of nine days, approximately 90 spectral readings were obtained, forming the foundation for subsequent analysis. The collected data aimed to identify spectral signatures associated with pollutants, including fine particulate matter (PM2.5).

December 1st – December 10th

Development of a Data Processing Application

Recognizing the need for efficient and standardized data handling, a proprietary software application was developed to process raw spectrometer readings. This application was designed to convert raw spectral data into a structured format, facilitating streamlined analysis. Key features of the software included automated data input, filtering, and standardization, ensuring that the dataset remained consistent and free from format-related inconsistencies.

December 20th

Data Cleaning and Normalization

Prior to in-depth analysis, the collected dataset underwent a comprehensive cleaning and normalization process. This step involved identifying and eliminating noise, artifacts, and other discrepancies that could interfere with accurate interpretation. Various statistical and computational techniques were applied to enhance the clarity of the spectral data, thereby improving the precision of subsequent analyses.

January 5th – January 20th

Experimental Data Analysis and Deconvolution Techniques

To improve accuracy, we applied data analysis and deconvolution techniques to separate pollution signals from background noise and overlapping spectral features. This allowed us to extract clearer pollution signatures and enhance real-time monitoring.

February 15th – February 20th

Cross reference with Existing Literature

The final phase involved comparing results with published studies to validate findings against known spectral characteristics of pollutants. Special focus was given to PM2.5 absorption spectra, enabling direct comparisons. This cross-comparison refined conclusions and enhanced the understanding of spectrometry-based pollution detection.

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We'd love to hear from you and collaborate!
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Reach us at
ecodocspakistan@gmail.com