When Kelly Liu looked at air pollution data around San Jose, she noticed something important was missing. Official monitoring stations could show broad regional trends, but they did not always reveal what students were breathing beside busy roads, industrial areas or older school buildings. The 16-year-old student decided to fill that gap by combining artificial intelligence, low-cost pollution sensors and community organising. Her work mapped local air quality, brought monitoring devices to underserved schools and helped build pressure for stronger countywide action. As described by Action for Nature and reported by Hoodline, Kelly’s project grew from a technical experiment into a public campaign, showing how student-led research can make environmental inequality visible and influence policy. Her story is not just about measuring dirty air. It is about giving communities evidence they can use to demand healthier places to learn.Seeing what broad data missesAir pollution rarely affects every neighbourhood in the same way. Two schools only a few miles apart may face very different conditions depending on their proximity to highways, warehouses, factories, construction sites or heavily travelled roads. Weather, traffic patterns and building ventilation can also influence the air students breathe during the school day.Traditional monitoring networks are valuable, but their stations are expensive and widely spaced. One monitor may represent conditions across a large area without capturing pollution hotspots near a particular campus. For families and teachers, that can create a frustrating gap between official regional data and their everyday experience.Kelly became interested in that gap while studying air quality in the South Bay. She wanted to understand where pollution was concentrated and whether some schools were receiving less protection than others. Rather than treating available data as complete, she asked what it left out.Using AI to map pollutionKelly used artificial intelligence as a tool for analysing and visualising complex environmental information. By combining available air quality records with location data, traffic patterns and other geographic indicators, she developed maps that could show likely pollution burdens at a more local level.The purpose of AI was not to replace scientific monitoring. It was to help identify patterns, compare communities and direct attention toward places that might deserve closer investigation. Algorithms can process large amounts of information much faster than a person working manually, making it easier to examine relationships between pollution, roadways, school locations and neighbourhood characteristics.The resulting maps helped turn an abstract issue into something people could see. Instead of discussing air quality only through countywide averages, Kelly could show how exposure might vary from one school to another. That visual clarity made the issue more accessible to students, parents, school administrators and policymakers.Still, maps based on models and existing records have limitations. They can suggest where pollution may be high, but sensors are needed to confirm conditions on the ground. Kelly’s work therefore moved beyond digital analysis and into direct community monitoring.Bringing sensors to underserved schoolsKelly helped place pollution sensors at schools in communities that are often underrepresented in environmental data. These devices can measure factors such as particulate matter, which includes tiny airborne particles capable of entering the lungs. Depending on the equipment, sensors may also track other pollutants or environmental conditions that affect indoor and outdoor air quality.Installing monitors at schools provides a more detailed picture of what students encounter. It can reveal changes during morning drop off, afternoon traffic, nearby construction or wildfire smoke events. It can also help schools understand whether filtration, ventilation and building maintenance are reducing exposure indoors.The focus on underserved schools was central to Kelly’s approach. Environmental monitoring is not only a technical challenge. It is also a question of fairness. Communities with fewer resources may face greater exposure to pollution while having less access to data, medical guidance or political influence. Placing sensors in those schools helped address both problems by producing evidence and involving the people most affected.Students could see readings from their own campuses and connect the information to lessons in science, technology and health. That made air quality a local and tangible subject rather than a distant environmental issue.From evidence to advocacyCollecting data was only one part of Kelly’s work. She also helped communicate the findings and encourage action. Students, parents and community supporters used the information to argue that schools should have stronger air quality protections, including better filtration, monitoring and policies for days when outdoor pollution becomes dangerous.Student advocacy can be especially powerful because it connects policy decisions to the people who spend much of their day inside school buildings. Kelly and other young organisers were not presenting pollution as an abstract statistic. They were asking why some children should learn in environments with higher exposure and fewer safeguards.Their efforts helped push the conversation beyond individual school campuses toward countywide policy. A countywide approach can create consistent standards, reduce disparities between districts and make it easier to secure funding for monitoring and clean air equipment. It also recognises that pollution does not stop at school boundaries.Why school air mattersChildren are particularly vulnerable to air pollution because their lungs and bodies are still developing. They also breathe more air relative to their body size than adults and may spend many hours each day at school. Exposure to fine particles and other pollutants can aggravate asthma, contribute to respiratory problems and affect attendance and concentration.Schools have a practical role in reducing risk. High quality filtration, properly maintained ventilation systems, closed windows during severe pollution events and clear response plans can all help protect students. Outdoor activity policies may also need to account for air quality, especially during wildfire smoke or periods of heavy traffic pollution.Without monitoring, schools may not know when conditions are changing or whether their mitigation efforts are working. Kelly’s project brought attention to that need and showed how comparatively affordable sensors can complement official monitoring networks.A model for youth-led environmental scienceKelly’s work combines research, technology and public engagement in a way that is increasingly important for environmental problem solving. Young people are often portrayed as passive recipients of climate and pollution policy, but Kelly’s project shows them acting as investigators and advocates.Her approach also demonstrates that environmental science does not end with data collection. A map becomes more useful when people can understand it. A sensor becomes more valuable when its results guide a decision. A policy becomes stronger when it responds to evidence gathered from the communities it affects.Action for Nature’s Eco-Hero recognition highlights this combination of initiative and impact. Kelly did not simply build a technical project for a competition. She used technology to investigate an inequality, worked with communities facing exposure and helped move the discussion toward institutional change.The challenges aheadCountywide policy changes can provide a foundation, but implementation requires funding, staff and accountability. Sensors must be calibrated and maintained. Data must be interpreted carefully, particularly when low-cost devices are used. Schools need resources to upgrade filters, repair ventilation systems and respond to changing conditions.There is also a need to communicate results without creating unnecessary alarm. Pollution readings can fluctuate, and one measurement does not always establish a long term health risk. Schools and families need clear guidance explaining what the data mean and what actions are appropriate.Kelly’s work points toward a more transparent system in which schools regularly measure air quality, publish understandable information and prioritise improvements where exposure and vulnerability are greatest. That process would make environmental protection more responsive and equitable.A cleaner future begins with visibilityKelly Liu’s story begins with a simple observation: people cannot solve a problem they cannot see. By using AI to map pollution, sensors to gather local evidence and advocacy to bring the findings into policy discussions, she helped make school air quality visible.Her work also offers a practical lesson for other communities. Environmental change does not always start with a major institution or an expensive research programme. It can begin with a student asking better questions, gathering evidence and inviting others to act.For Kelly, the goal is not merely to produce impressive maps or install more monitors. It is to help ensure that every student, regardless of neighbourhood or school budget, has the chance to learn in clean and healthy air. That ambition has already taken her project from a San Jose classroom to a broader countywide conversation.