Ramblin' Returns

Keep your money ramblin’ forward!

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Inspiration

At Georgia Tech, I observed two common issues:

  1. Students routinely spend $25–30 per day on discretionary purchases like food, coffee, and delivery.
  2. Many lack access to traditional investment tools.

This intersection of behavioral spending and financial exclusion led to Ramblin' Returns — a system that converts everyday expenses into micro-investments. Named after the "Ramblin’ Wreck" tradition, it embodies Georgia Tech’s ethos of practical innovation.

What it does

Ramblin' Returns helps students build wealth passively through three core features:

  • Spend-Matching Investments

    • Automatically invests a percentage of purchases into relevant stocks
    • Includes pre-configured rules for Georgia Tech campus merchants
    • Supports round-ups and customizable merchant-specific logic

  • Financial Health Monitoring

    • Analyzes spending patterns and benchmarks against peers
    • Provides runway estimates and opportunity cost visualizations
    • Offers personalized recommendations based on user history

  • Student-Centric Security Tools

    • Detects phishing and unsafe links
    • Sends real-time fraud alerts
    • Offers educational tips on identifying scams

The interface uses Georgia Tech’s color palette and includes celebratory visuals to reinforce progress. It requires under five minutes of weekly engagement.

How I built it

  • Design: Created user flows and interface mockups using Figma
  • Backend: Built custom rules engine, merchant parser, and security module
  • Frontend: Implemented a responsive user interface with real-time investment feedback
  • Documentation: Produced a walkthrough video, technical writeup, and pitch deck

Challenges

  • Parsing financial data from bank statements proved complex
  • Trading APIs required unconventional handling
  • Designing a playful yet credible user experience was a balancing act
  • Working solo required tight focus and rapid decision-making

Accomplishments

  • Delivered a complete prototype from end to end
  • Developed merchant-based spend-matching algorithms
  • Designed a user interface that simplifies onboarding
  • Managed and executed the entire project independently, including a successful live demo

Lessons learned

  • Financial APIs require robust error handling
  • Gamified investing significantly increases user engagement and trust
  • Timeboxing and documentation are critical when building solo
  • Even simple features need thoughtful design and testing

What’s next

  • Conduct user testing on the Georgia Tech campus
  • Integrate live banking via Plaid
  • Expand merchant database
  • Add machine learning-based security features
  • Launch mobile applications
  • Explore partnerships with Goldman Sachs and Georgia Tech financial literacy initiatives
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