The alarming rise in atmospheric CO₂ necessitates innovative solutions for mitigating climate change. The challenge is to showcase and highlight the benefits of planting trees and spreading knowledge about this agenda in a more interactive manner, this particular task requires us to engineer an advanced medium through which it is possible to have interactive, engaging, and real-life conversations. This research introduces Eco-Engine, a system combining advanced algorithms, Natural Language Processing (NLP), and community engagement to facilitate effective carbon sequestration. Leveraging data on tree species, soil types, and local ecological conditions, our model estimates the optimal number of trees required for carbon neutrality as well as providing tips knowledge and spread awareness of a green environment. The premise of the project is to find ways to integrate the knowledge of the planet’s carbon emission conditions and encourage development of was to mitigate these carbon emissions. This study highlights the science of carbon storage, the socio-economic benefits of using green practices, and the technological backbone supporting this initiative.