Inspiration

    •    Finance is confusing, especially for young & low-income individuals     •    Existing tools are complex, outdated, and not user-friendly     •    People struggle with tracking spending, predicting expenses, and setting goals     •    We wanted to build something seamless, smart, and intuitive to bridge this gap

What It Does

    •    Syncs real-time bank data – Automatically pulls and categorizes transactions     •    AI-driven categorization – Uses Anthropic AI to analyze and label expenses     •    Personalized financial insights – Generates smart recommendations based on habits     •    Predictive analytics – Forecasts future spending trends for better planning     •    Powerful search & filtering – Find transactions instantly with ease     •    Vibrant data visualization – Clear, digestible spending breakdowns over time

How We Built It

    •    Tech stack: Nextjs, TypeScript     •    AI processing: Leveraged Anthropic AI for transaction analysis.     •    Predictive modeling: Trained a statistical model to forecast expenses.     •    Intuitive UI/UX: Designed a black-themed, minimal interface for clarity.

Challenges We Ran Into

    •    Bank API limitations – Handling inconsistent transaction data formats.     •    AI categorization accuracy – Ensuring precision in labeling expenses.     •    Optimizing performance – Making queries fast and seamless.     •    Data visualization – Presenting complex financial data in a simple way.     •    Balancing automation & user control – Keeping insights personalized yet flexible.

Accomplishments That We’re Proud Of

    •    Seamless, beautiful UX – Finance made effortless.     •    Smart AI categorization – Automating manual transaction sorting.     •    Accurate predictions – Helping users see their financial future.     •    Fast transaction search – No more scrolling through endless bank statements.     •    Engaging data visuals – Turning spending into an intuitive story.

What We Learned

    •    Financial tech needs simplicity – Users value clarity over complexity.     •    AI can make finance intuitive – Smart automation enhances decision-making.     •    User feedback is key – Small UX tweaks make a big difference.     •    Data-driven insights empower users – Personalized finance tools drive action.

What’s Next for Dough?

    •    More bank integrations – Expand beyond Chase for broader access.     •    Deeper AI insights – Enhance recommendations with richer financial models.     •    Goal-based savings – Automate savings based on spending patterns.     •    Community-driven insights – Help users compare habits & optimize finances.     •    Mobile app launch – Bring Dough’s experience to iOS & Android.

Built With

Share this project:

Updates