Case study · FinTech
FinCoach AI: personal finance made simple
How we built an AI-powered financial coaching app for Android that helps users take control of their money with smart budgeting, investment insights, and personalized guidance.
Report summary
- ProblemFinance apps either just log expenses or overwhelm beginners with investment jargon.
- ApproachAn offline-first Android app whose AI engine reads spending patterns and suggests what to do next.
- OutcomeOne app for budgeting, investment basics, goals and bills, with advice built from each user's own data.
- Built by
- CraftsAI, as our own product
- Platform
- Android
- Stack
- Kotlin
- Jetpack Compose
- Firebase
- ML Kit
- Material Design 3
What shipped
Facts about what we built. We haven't published usage or performance numbers for this product, so you won't find any here.
- Tool areas
- Budgeting, investment analysis, goal tracking, bills
- AI engine
- On-device spending analysis with ML Kit
- Architecture
- Offline-first, synced with Firebase
The challenge
Managing personal finances is overwhelming for most people. Existing apps either offer basic expense tracking without actionable insights, or complex investment platforms that intimidate beginners. We needed to build something that bridges the gap: an intelligent financial companion that adapts to each user's financial situation and goals.
Our approach
We built FinCoach AI using Kotlin and Jetpack Compose, following Material Design 3 guidelines for a clean, accessible interface. The AI engine uses ML Kit to analyze spending patterns and generate personalized recommendations. Firebase handles real-time sync, authentication, and serverless functions for backend processing.
Key technical decisions included implementing an offline-first architecture so users can track expenses without connectivity, using WorkManager for background processing of financial reports, and building a custom chart library for visualizing spending trends and investment performance.
Results
The app launched with financial tools spanning budgeting, investment analysis, goal tracking, and bill management, with personalized recommendations generated from each user's own spending patterns.