Build an AI Expense Tracker App - Part 1

TLDRIn this video, we will build an AI expense tracker app from scratch that targets three platforms: iOS, macOS, and WatchOS. We will focus on building the user interface, adding expense listing capabilities with filtering and sorting, and integrating Firestore database for persistence. Later, we will add AI assistant features using CH GPT language model.

Key insights

📱Target three platforms: iOS, macOS, and WatchOS

💼Build an expense tracker app with user interface and listing capabilities

🔍Add filtering and sorting capabilities to the expense listing

💾Integrate Firestore database for persistent storage

🤖Add AI assistant features using CH GPT language model


Which platforms does the app target?

The app targets three platforms: iOS, macOS, and WatchOS.

What features will the app have?

The app will have a user interface, expense listing capabilities, filtering and sorting, and integration with Firestore database for persistence. It will also include AI assistant features using CH GPT language model.

Will the app support multiple categories for expenses?

Yes, the app will support multiple categories for expenses. Users can filter and sort their expenses based on categories.

Can the app be used on multiple devices?

Yes, the app can be used on multiple devices including iOS, macOS, and WatchOS. The expense data is synced across all devices.

How does the AI assistant feature work?

The AI assistant feature is powered by CH GPT language model. It can provide suggestions and assist with expense tracking tasks.

Timestamped Summary

00:00Introduction to the video series on building an AI expense tracker app.

01:23Demo of the expense list screen and filtering capabilities.

02:40Demo of adding and editing expenses.

04:18Demo of deleting an expense.

05:25Setting up Firebase and Firestore database.

10:20Enabling outgoing connections for the Mac app.

12:47Using Firestore local emulator for local development.

15:32Adding sample data to Firestore database.