Inspiration
Young adults struggle with impulse spending and a lack of savings discipline.
What it does
AI-powered financial assistant that helps users curb unnecessary expenses and automate savings through personalised real-time nudges.
How I built it
- The Android app is written in kotlin with a Gemma model embedded inside
- Converted a Python script to run in a kotlin/java environment to interact with the Gemma model transform the data and categorize it
Challenges I ran into
- Extracting and Processing financial details without compromising security
- Include AI-based analyses without sending data off-device or online
- Wrapping a Gemma model inside the app and making connections with the backend to ensure the analyses happen on device without any internet connections made
Accomplishments that I'm proud of
- SMS Parsing system that ensures that reliable real-time data about the user's financial transactions
- Teamwork and Cross collaboration
What I learned
- Make the most out of the least
- Upholding data safety and compliance standards
What's next for Finetic - TechSolstice 2025
- Adding new features according to the roadmap we laid out
- Understanding if there is a viable market for the Applications offerings and use cases.
Built With
- android
- android-studio
- gemma
- kotlin
- python
- sms
Log in or sign up for Devpost to join the conversation.