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ExpenseTracker is a mobile application designed to help users track their expenses and budget their finances effectively. The app uses machine learning algorithms to analyze user spending patterns and provide personalized suggestions to optimize their budget. The project aims to provide an easy-to-use and intelligent platform for users to track and manage their expenses.

To achieve this goal, the student is looking for other programmers, UI/UX designers, and data analysts to help with coding, testing, and data analysis. The programmers will be responsible for developing the app's architecture, implementing the machine learning algorithms, and ensuring a smooth user experience. The UI/UX designers will be responsible for designing the app's interface, ensuring that it is intuitive and user-friendly. Data analysts will be responsible for analyzing user data to provide personalized recommendations and identify trends.

Sample Poster

Tue May 16 2023 05:59:31 GMT+0000 (Coordinated Universal Time)

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