The project "Designing a machine learning application platform to determine tree carbon credits" is a scientific research project in the field of Earth and Environmental Sciences, carried out by a group of students Vo Hoang Khang and Nguyen Huu Phuoc under the guidance of Mr. Tran Ngoc Tien Phat. The goal of the project is to build a complete technology platform, combining machine learning (AI), biology and mobile applications, allowing students to easily estimate the amount of CO2 absorbed by a tree and convert it into carbon credits just by taking a photo. Technically, the system uses a machine learning model (YOLOv8s) to estimate tree size from photos, integrates PlantNet API for species identification (with user confirmation), then uses the R language and the BIOMASS package to calculate biomass according to international standard allometric equations and converts it to equivalent CO2 based on the IPCC coefficient. The platform is realized through the GreenMeter mobile application, which is designed not only as a scientific measurement tool but also as an educational and community platform. The application focuses on user experience through gamification features such as the "My Garden" section for crop tracking, a green social network with integrated carbon credit rankings for students to compete, and a system of tasks, weekly challenges and badges. Through this interactive and intuitive experience, the project aims to raise students' awareness of environmental protection, make complex scientific concepts understandable and create strong motivation for practical actions towards the Net Zero goal.