Ecoworld Planit: Making a Difference

Abstract

Abstract—This research paper presents the invention and development of the "PLANIT" mobile application, designed to promote eco-friendly activities and connect like-minded individuals in a global community. PLANIT addresses contemporary challenges associated with technology's impact on daily life by encouraging users to engage in meaningful eco- friendly actions. The paper outlines the technical aspects of PLANIT, including its utilization of Android Studio, Firebase database, Java, and TensorFlow to create a user-friendly platform. The application employs machine learning algorithms to validate eco-friendly activities through image recognition, ensuring authenticity. PLANIT distinguishes itself from existing platforms like Snapchat, Ecosia, JouleBug, and Treeapp by eliminating the use of filters and offering a purpose-driven, eco- friendly approach. It fosters a sense of community among users who genuinely care about the environment, promoting real- world interactions and nature appreciation. The research highlights the advantages of PLANIT, such as motivating millennials to partake in eco-friendly actions, creating an engaged community, and nurturing sustainable habits. By encouraging individuals to make eco-friendly choices and interact with nature, PLANIT contributes to a healthier ecosystem and a more connected global society. The paper concludes by discussing the potential impact of PLANIT on society and the environment, emphasizing its role in fostering a community that cares for nature and strives for a greener, cleaner world. Keywords—Machine Learning, Automation, Ecosystem, Environment, Health, Green Earth, Application, Android, Community.