Inspiration
Banks handle a large number of loans every day, but many risks are identified too late—only after a borrower misses payments or violates conditions. We noticed that loan monitoring is often done using manual reports and scattered systems, which makes it hard for bank staff to act early. This inspired us to build a simple and visual solution that helps banks spot problems before they become losses.
What it does
LoanGuard is a smart loan monitoring dashboard that shows the health of loans at a glance. It categorizes loans into:
Compliant – loan is healthy
Approaching – early warning signs detected
Breached – immediate action required
The dashboard helps bank staff quickly understand which loans need attention and take timely action.
How we built it
We built LoanGuard as a frontend prototype focused on clarity and usability:
Designed the UI and workflow using Figma
Built the dashboard using HTML, CSS, and JavaScript
Used Vite for fast development and build
Displayed loan status using mock data to simulate real scenarios
Deployed the project using Netlify
The focus was on demonstrating business value and workflow, not full backend integration.
Challenges we ran into
Understanding complex loan concepts and simplifying them
Designing a dashboard that is useful for non‑technical bank staff
Deciding what to include in a prototype within limited time
Balancing simplicity with meaningful features
Accomplishments that we're proud of
Built a clear and easy‑to‑use loan monitoring dashboard
Successfully explained complex loan risk concepts using simple visuals
Created a working, deployable prototype within the hackathon timeframe
Designed a solution aligned with real banking needs
What we learned
Early risk detection is more valuable than post‑problem reporting
Simple visuals can make complex financial data easy to understand
Prototypes don’t need full backend systems to show strong impact
Designing for end‑users (bank staff) is crucial for adoption
What’s next for LoanGuard
In the future, LoanGuard can be expanded by:
Adding a backend with real loan data
Integrating with bank core systems
Using AI/ML to predict loan default risk
Sending automated email/SMS alerts
Supporting ESG and green loan monitoring
Adding role‑based access for bank officers and managers
Built With
- chart
- css
- figma
- html
- javascript
- netlify
- vite
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