Fric: Your smart Personal Finance Manager

Project Scope and Features:

The MVP support the following features

• User authentication (sign up, login)
• Dashboard on the welcome screen with finance overview
• Manual expense tracking and categorization: User enter their expense and what the spent on, and the app put insert the purchase in an existing category or generate a new one
• Basic AI-powered insights and recommendations
• Monthly budgeting
• Monthly finance report

Technology Stack:

• Language: Kotlin
• Build tool: Gradle
• UI Framework: Jetpack Compose
• Backend: Firebase (Authentication, Realtime Database)
• AI/ML: TensorFlow Lite for on-device predictions
• Design: Material Design components for a professional look

Development Phases & timeline:

• Week 0: 07/07 - 07/14: Brainstorming

• Branding: UI color, Icons, and other UI elements

• Design resources generation: Figma, Material design, etc

• Week 1: 07/15 - 07/22: Setup and Basic Functionality

• Project setup, Firebase integration

• Implement user authentication

• Create basic UI screens (login, signup, dashboard)

• Week 2-3: Core Features

• Develop expense input and categorization system

• Implement dashboard with basic finance statistics

• Create monthly report generation feature

• Week 4: AI Integration and Enhanced UI

• Integrate TensorFlow Lite for basic expense predictions

• Implement AI-powered insights on the dashboard

• Refine UI/UX with Material Design components

• Week 5: Testing, Refinement, and Deployment

• Comprehensive testing and bug fixes

• Performance optimization

• Final review and Google Play Store submission

Key Components:

a. User Authentication:

Email/password signup and login Google Sign-In integration for quick onboarding

b. Dashboard:

• Total balance
• Monthly income vs. expenses
• Top spending categories
• AI-powered insights (e.g., "You've spent 20% more on dining this month")

c. Expense Tracking:

• Quick-add expense feature
• Customizable expense categories
• Option to add notes and tags to expenses

d. AI-Powered Insights:

• Expense categorization suggestions
• Spending trend analysis
• Basic budget recommendations

e. Monthly Reports:

• Visual breakdown of expenses by category
• Income vs. expense comparison
• Savings rate calculation
• Downloadable PDF report

Post-Launch Roadmap:

• User feedback collection and analysis
• Implementation of bank account integration for automatic tracking
• Advanced AI features (e.g., predictive budgeting, investment recommendations)