Flip & Floss aims to enhance customer financial management by developing an AI model that leverages machine learning to analyze customer banking information and generate personalized financial plans. The project focuses on creating a prototype that can interpret transaction data, categorize expenses, and suggest budgeting strategies. Learners will apply their knowledge of data science and machine learning algorithms to design and train the model. The project will involve data preprocessing, feature selection, and model evaluation to ensure accuracy and reliability. By the end of the project, the team will have a working prototype that demonstrates the potential of AI in personal finance management.

- Analyze customer banking data to identify spending patterns.

- Develop a machine learning model to categorize expenses.

- Generate personalized budgeting strategies based on data insights.

- Evaluate model performance and suggest improvements.

The project deliverables include a functional AI model capable of analyzing banking data and generating a basic financial plan. The team will provide a detailed report documenting the model's development process, including data preprocessing, algorithm selection, and performance metrics. Additionally, a presentation will be prepared to demonstrate the model's capabilities and potential applications in personal finance management.

- A working prototype of the AI model.

- A comprehensive report on the development process.

- A presentation showcasing the model's features and benefits.