According to the ClimaInfo Institute, 93% of Brazil’s municipalities were affected by some type of natural disaster related to extreme events. The AdaptaBrasil Platform reports that “of the [country’s] 5,570 municipalities, 3,679 have low or very low capacity to adapt to extreme events and hydrological disasters such as heavy winds, heat waves, major droughts, landslides, and floods.” Thus, with the objective of orienting adaptive measures through networking, territorial mobilization, advocacy, and the development of prototypes, the project aims to develop and use technologies to collect data on heat waves and air quality in Maré and to train secondary school girls in climate technology for data analysis. The project is intended to create effective strategies for mitigation and adaptation to the effects of heat waves and thus improve air quality in the Maré favelas The study is based on the hypothesis that the combination of mitigation and adaptation strategies for air quality and heat waves, with an emphasis on the mobilization of young girls in the areas of science, technology, engineering, and mathematics, can significantly strengthen resilience in dense urban areas such as Maré. To improve the understanding of climate impacts in the region and to train young women in climate science, the project will create an innovative model to develop sustainable and replicable solutions to climate challenges, with strong community involvement and influence on public policies. In addition, through the systematization and dissemination of the knowledge produced, the aim is to influence and integrate public policies for climate adaptation in neglected territories. Furthermore, to guarantee replicability and scalability, the project will create a local entrepreneurial ecosystem, encouraging the formation of small businesses that address socio-environmental issues. The project will also implement a robust system to continuously measure its social impact, including improvements in quality of life, economic empowerment, and reduction of gender inequalities.