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.

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