Skip to content
AnushaAgarwal27Public
forked from anantp1910/kerdos

About

Your AI-powered credit card brain. Swipe smart, invest smarter, track everything.

Resources

Stars

0 stars

Watchers

0 watching

Forks

 
 

Repository files navigation

Kerdos

AI-powered credit card optimization and reward investing platform built at Bitcamp 2026.

Kerdos helps users maximize rewards across multiple credit cards, track cashback intelligently, and turn rewards into investment opportunities.


Features

SmartSwipe

Find the best credit card to use for every purchase based on:

  • Cashback rates
  • Reward points
  • Airline miles
  • Merchant categories

RewardVest

Transforms cashback rewards into personalized ETF investment allocations using:

  • Market regime analysis
  • Risk tolerance
  • AI-generated financial insights

WealthSplit

A financial dashboard that tracks:

  • Rewards earned
  • Cashback value
  • Investment growth
  • Expense splits
  • Net financial gains

Tech Stack

Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • Framer Motion

Backend & APIs

  • PostgreSQL
  • Supabase
  • Plaid Sandbox
  • RewardsCC API
  • Alpha Vantage
  • DeepSeek V3
  • Featherless.ai

How It Works

Transaction Input
        ↓
Card Reward Analysis
        ↓
Best Card Recommendation
        ↓
Reward Tracking
        ↓
Portfolio Allocation
        ↓
AI Investment Insights

Installation

Clone the repository

git clone https://github.com/your-username/kerdos.git
cd kerdos

Install dependencies

npm install

Run the development server

npm run dev

Future Improvements

  • Real Plaid production integration
  • Browser extension for checkout recommendations
  • International credit card support
  • Brokerage API integrations
  • Automated investing workflows

Contributors

  • Anant Patel
  • Anusha Agarwal
  • Devajsinh Ajitsinh Solanki
  • Vedant Shirvi

Built At

Bitcamp 2026

About

Your AI-powered credit card brain. Swipe smart, invest smarter, track everything.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages