Credit Curator

Find the optimal credit card for you, get more rewards.
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Inspiration

We witnessed the overwhelming complexity and confusion that many face when selecting a credit card first hand. The market's saturation with multiple credit card options, each with its unique benefits and terms, made it clear that there was a need for a simplified, data-driven approach to guide individuals towards an optimal choice based on their their financial habits and goals.

Our team envisioned a platform that could demystify this process, offering personalized recommendations that align with users' lifestyles and financial aspirations, thus empowering them to make informed decisions with ease.

What it does

Credit Curator serves as a bridge between consumers and their ideal credit card offerings. Through a simple, interactive questionnaire, Credit Curator's algorithm provides tailored recommendations for a credit card, helping users maximize their financial benefits and rewards without the hassle of manual comparison.

How we built it

Aggregated a comprehensive dataset from leading US banks, categorizing each credit card based on its features.
Crafted an algorithm that analyzes this data along with user-provided information about their spending patterns and financial preferences.
The frontend was developed using HTML, CSS, and JavaScript to ensure a seamless and user-friendly experience, while the backend logic, also in JavaScript, processes the data and generates personalized recommendations
All of which is hosted on the cloud using AWS.

Features

Comprehensive Dataset : Our dataset includes top credit card offers, categorized by cash backs, points on various spending categories such as gas, travel, groceries, and dining, as well as APR, required credit score, and additional perks.
Personalized Recommendations : By analyzing your responses to our questions, our algorithm identifies the credit card that best fits your unique spending profile and credit status.
User-Friendly Interface : Our webpage features a straightforward form that guides you through a series of questions, making the process of finding your ideal credit card seamless and efficient.

Challenges we ran into

Finding a dataset - no existing dataset is comprehensive enough to meet the requirements of our algorithm, so we had to develop our own dataset.
Hosting on AWS - creating a lambda function for the requests call was the part of the project that took most of the time.

Accomplishments that we're proud of

Creating an algorithm that is robust and effectively matches users with their ideal credit cards, considering a wide array of financial behaviors and needs, stands out as a significant achievement.

What we learned

Gained deeper insights into the complexities of personal finance.
Impact of user-friendly design in tech solutions.
Enhanced technical skills - particularly in data analysis, algorithm development, and frontend design.