Gig-Cred+

Inspiration

Gig workers form a huge part of today’s workforce, but they are often denied access to formal credit because they lack traditional salary slips or fixed income proof. We were inspired to solve this gap by creating a system where work itself becomes proof of financial reliability.

What it does

Gig-Cred+ is a platform that combines freelancing with intelligent credit access. Employers post gigs and hire workers. Workers complete tasks, earn money, and build a GigScore based on their performance, consistency, and earnings. This GigScore is then used to determine loan eligibility, EMI, and approval decisions in real time. The platform also provides clear explanations and eligibility insights, making the process transparent and user-friendly.

How we built it

Frontend: HTML, CSS, JavaScript with a modern dashboard UI Backend (simulated): API-based logic using structured prompts Core logic: Gig history tracking GigScore calculation based on behavior Loan eligibility system with EMI constraints Integration: fetch() APIs for loan requests and gig updates AI Layer: Used for generating explanations and improving decision transparency

Challenges we ran into

Handling data trust and authenticity without relying on external platforms Designing a fair and explainable scoring system Managing time constraints (building an MVP in a few hours) Ensuring smooth frontend-backend integration within limited time Accomplishments that we're proud of Built a working end-to-end prototype in a very short time Created a self-contained system that generates its own financial data Designed a transparent and explainable credit scoring model Delivered a smooth and realistic demo experience

Accomplishments that we're proud of

Built a working end-to-end prototype in a very short time Created a self-contained system that generates its own financial data Designed a transparent and explainable credit scoring model Delivered a smooth and realistic demo experience

What we learned

Importance of focused execution over overbuilding How to design systems that are practical and scalable Value of clear API contracts and teamwork How AI can be used as an assistive layer rather than a replacement

What's next for Gig-Cred+

Integration with real payment systems and bank data Advanced fraud detection and verification mechanisms Expansion into a full-scale gig ecosystem Training ML models using real user data for better predictions Scaling the platform to support financial inclusion at a larger level

Built With

• anitgravity
• css
• html
• javascript
• node.js