Inspiration
Managing personal finances can be overwhelming for many individuals, especially with multiple expenses, savings goals, and investment opportunities. We wanted to create a solution that not only makes financial management simpler but also empowers users to make smarter decisions about their money.
How we built it
Frontend: Built using Streamlit for an intuitive and user-friendly web interface. Backend: Python with Pandas for financial data processing. AI/ML Models: Google Gemini for generating personalized financial advice and investment tips. Deployment: Hosted on Hugging Face Spaces and integrated CI/CD with GitHub Actions.
Challenges we ran into
Personalization Complexity: Tailoring financial advice for different user profiles
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