LoanLy

# LoanLy: We Care for the Minority

## Inspiration
We were inspired by the stories of hardworking individuals who are denied fair financial opportunities simply because they lack a traditional credit history. Immigrants, students, and those paid in cash often face systemic barriers when applying for loans. We wanted to build a solution that measures **trust**, not privilege — giving everyone an equal chance to access financial growth.

## What It Does
LoanLy introduces a **Trust Score**, an alternative to the traditional credit score. Instead of relying solely on past credit data, our score evaluates behavioral and community-based indicators such as:
- Payment consistency (e.g., rent, utilities)
- Peer and community reputation
- Employment stability
- Volunteer and social engagement  

This creates a holistic and human-centered measure of financial reliability.

## How We Built It
We used **FigmaMake** to design our prototype and built mathematical equations to compute the **Trust Score**.  

The foundation of our score uses a weighted equation:

\[
T = \alpha P + \beta S + \gamma C + \delta E
\]

Where:  
- \(P\) = payment consistency  
- \(S\) = social trust (peer/community input)  
- \(C\) = credit-like data (e.g., rent, utilities)  
- \(E\) = employment or education stability  
- \(\alpha, \beta, \gamma, \delta\) are tunable weights based on validation data  

We also explored APIs that provide access to open banking, behavioral data, and financial literacy tools to make our prototype more realistic.

## Challenges We Ran Into
- Finding **diverse and ethical data sources** that fairly represent minority groups  
- Translating **qualitative trust** into a **quantitative metric** without bias  
- Ensuring **data privacy** and compliance while maintaining transparency  
- Designing a clean, **user-friendly interface** that builds confidence, not confusion  

## What We Learned
- How **data ethics** directly affects financial inclusion  
- The importance of designing technology that reflects **empathy and fairness**  
- That meaningful innovation often begins with understanding **who the system overlooks**  
- Practical experience integrating **APIs**, building **prototypes**, and formulating **equations** that model human behavior  

## Accomplishments We’re Proud Of
- Creating a working prototype that visualizes the full user journey  
- Designing a new, **trust-based scoring model** that could one day replace outdated systems  
- Building a tool that aligns **social impact** with **data science**  

## What’s Next for LoanLy
- Partner with microloan institutions and nonprofits to **pilot our Trust Score**  
- Improve our algorithm’s accuracy through **real-world testing**  
- Expand globally to empower underserved communities everywhere  
- Launch a mobile version to make financial empowerment accessible to anyone, anywhere  

Built With

• figma
• googlestudio
• lettaai
• python
• react