Wealthwise

Manage your wealth wisely !

Comment

Inspiration

Money is something everyone deals with, yet managing it isn’t easy. From tracking expenses to figuring out investments, people often feel lost. We noticed that many of our friends and family struggled with questions like: -Am I saving enough? -Where should I invest? -How do I keep track of everything in one place? That’s when the idea struck: what if we built an AI-powered personal finance assistant that could simplify all this? Something that not only tracks money but also gives real-time insights and recommendations to help people make smarter financial decisions. That spark became Wealth Wise.

What it does

This project turned into a crash course for us—technically and personally. Along the way, we learned:

  1. How to train AI models (like Google’s Gemini) to understand financial data and suggest meaningful actions.
  2. How to organize messy datasets and transform them into clean, visual dashboards people can actually use.
  3. The importance of real-time data—a 5-minute delay in stock market info can mean a huge difference.
  4. Why security matters so much in finance, and how to use authentication systems like Google Login and Metamask.
  5. The art of full-stack development, combining frontend design with backend logic and APIs.

How we built it

We wanted Wealth Wise to feel modern, fast, and reliable, so we chose a tech stack that balanced performance and scalability.

  1. Frontend (React + TypeScript) Built an interactive UI with React + TypeScript Styled everything with Tailwind CSS Used Vite to speed up development Added graphs with Chart.js & Recharts so financial data feels visual, not overwhelming
  2. Backend (Python + Flask) Flask handled the core logic and API calls Integrated Google’s Gemini AI to analyze user patterns and suggest next steps Connected APIs for stock data and financial news Used Cloudinary for safe data storage
  3. Security & Authentication Added Google & Metamask login for trust and ease Stored sensitive data in environment variables Encrypted financial information to keep it safe

Challenges we ran into

Of course, it wasn’t smooth sailing. Some of our toughest hurdles were:

  1. Messy financial data – pulling from multiple sources and making sense of it.
  2. AI personalization – making sure recommendations matched real user habits, goals, and risk levels.
  3. Security worries – because handling money means zero room for leaks.
  4. Speed vs. accuracy – delivering real-time insights without slowing down.
  5. Designing for humans – finance can be scary, so we had to make the app feel simple and friendly

Accomplishments that we're proud of

  1. Building Wealth Wise, a functional AI-powered personal finance assistant from scratch.
  2. Successfully integrating Google’s Gemini AI to provide smart, personalized financial recommendations.
  3. Designing a clean and intuitive dashboard that makes finance less intimidating.
  4. Implementing real-time stock insights that actually work without lag.
  5. Ensuring secure authentication with Google & Metamask, giving users peace of mind.
  6. Creating a platform that has the potential to make financial literacy more accessible for everyday people.

What we learned

  1. How to combine AI + finance in a meaningful, user-friendly way.
  2. The importance of data visualization—numbers alone can overwhelm, but graphs and insights make it simple.
  3. Real-time systems are tough! Optimizing APIs and data pipelines taught us a lot about scalability and performance.
  4. Security isn’t optional—we learned to implement OAuth, encryption, and best practices for sensitive data.
  5. Working as a team on a project of this scale showed us the value of collaboration, iteration, and patience.

What's next for Wealthwise

  1. Expanding beyond stocks to include crypto, mutual funds, and savings analysis.
  2. Adding budget tracking and expense categorization so users can manage daily spending.
  3. Training the AI to act as a personal finance coach, giving step-by-step guidance for long-term goals.
  4. Introducing gamified financial literacy modules, so users not only get insights but also learn how money works.
  5. Scaling the platform with cloud infrastructure to support more users and ensure high availability.

Built With

Share this project:

Updates