Lotus Addiction Therapy Inc seeks to develop an innovative fashion AI app, named KGG, using React Native for the front-end and Python Django for the back-end. The goal of this project is to create a user-friendly mobile application that leverages artificial intelligence to provide personalized fashion recommendations to consumers. The app will analyze user preferences and trends to suggest outfits and accessories, enhancing the shopping experience. This project offers learners the opportunity to apply their knowledge of mobile app development, AI integration, and back-end programming. The tasks involved include designing the app interface, implementing AI algorithms, and developing a robust back-end system to support the app's functionalities. The project is designed to be completed by a team of learners specializing in software development and can be accomplished within an 80-hour timeframe.

The project deliverables include a fully functional React Native mobile application with AI-driven fashion recommendation capabilities. Additionally, a Python Django-based back-end system must be developed to manage user data and support AI processing. The team will also provide documentation detailing the app's architecture, AI algorithms, and user interface design. The final deliverable will be a presentation showcasing the app's features and functionalities.