WhichCard

Inspiration

This project was inspired by the challenge of choosing the best credit card for rewards or cashback based on where and how you're shopping. I wanted to simplify that decision for users by building a smart recommendation system.

What I Learned

I learned how different cards structure their rewards, improved my skills in rule-based logic, data handling, and user-focused design.

How I Built It

I collected data on card rewards, categorized them by retailer and spending type, and built a matching engine that recommends the optimal card. The project was developed using [insert tech stack].

Challenges

Key challenges included dealing with vague or changing reward rules, handling exceptions like overlapping categories, and designing a user-friendly interface.