Introduction

AI Savings Assistant

Overview The AI Savings Assistant is a feature that helps users manage their finances more effectively by providing personalized savings and spending recommendations. It analyzes the user's current balance and suggests a detailed spending plan based on essential categories like transport, housing, groceries, healthcare, and savings. The assistant ensures that users save a recommended percentage of their income while allocating the remaining funds to necessary expenses.

🚀 Key Features:

• Personalized Savings Plan: Based on the user’s current balance, the AI Assistant calculates how much to save and provides suggestions for allocating the rest of the money across essential categories.

• Detailed Spending Breakdown: The AI offers a detailed plan categorizing expenses such as transport, housing, groceries, healthcare, and savings.

• Dynamic Response Parsing: The assistant dynamically responds with a formatted spending plan, which is parsed and displayed clearly in a user-friendly card view.

• Optimized UI: The spending categories, amounts, and descriptions are displayed in a clean, visually appealing format, helping users understand their financial situation at a glance.

Home	Spending Trends	user Income	Assistant	New Item In Menu

🚀 Functional Flow:

User Input: The user provides their current balance to the AI Savings Assistant. AI Calculation: The assistant calculates the recommended savings (typically 15% of the balance) and allocates the remaining funds to various essential categories, such as transport, housing, groceries, healthcare, etc. Response Generation: The assistant generates a detailed spending plan based on these calculations. UI Display: The response is parsed and displayed within a sleek and intuitive UI card, categorizing each spending area with clear amounts and descriptions.

Built With

• SwiftUI ViewModel: The ViewModel in SwiftUI will handle API requests, store the data, and bind the response to the SwiftUI views. UI Cards: Display the response from the backend in a beautiful, card-based UI.

• Backend (Python Swagger API)

Contact

• Developer: Nini Kurshavishvili
• Email: ninikurshavishvili606@gmail.com
• GitHub: ninikurshavishvili
• Project Repository: BUILDY on GitHub