Plant Assistant Application

Abstract

The Plant Assistant Application is a comprehensive gardening application developed to cater to the needs of inexperienced plant enthusiasts. With limited knowledge and guidance available, newcomers often struggle to provide proper care for their plants, resulting in wasted time and effort. Existing plant-based applications lack comprehensive information and detailed care guides, while physical guidebooks are expensive and hard to come by. This project aims to address these issues by creating a user-friendly application that grants easy access to plant care information, delivers guidance on optimal plant care practices, and incorporates an innovative snap feature for plant identification. The Waterfall methodology was employed throughout the project, involving phases such as requirement gathering, design, implementation, testing, and maintenance. The findings indicate that the snap feature successfully identifies plants using TensorFlow and SerpApi, providing accurate scientific names and comprehensive search results. The application boasts a minimalist and intuitive user interface, consolidating all essential plant care information in a single location. Moreover, a beginner-level guide on gardening fundamentals is included to support novices in their endeavors. The Plant Assistant Application is freely available for download on the Google Play Store. By catering to the needs of new gardeners, this application aims to cultivate a passion for gardening while offering valuable assistance in plant care, ensuring a seamless and gratifying gardening experience.

Keywords

• machine learning
• gardening application
• TensorFlow
• SerpApi
• snap feature