financial-wellness
Project Dire Wolf
Financial Wellness Machine Learning Algorithm 💰
This algorithm empowers individuals, families, and organizations to make smarter financial decisions by leveraging AI automation to:
- Reduce Risks: Anticipate financial stress signals like underinsurance, inconsistent cash flow, or high debt-to-income.
- Make Money: Provide actionable insights for income optimization, budget efficiency, and investment readiness.
- Create Heirlooms: Promote intergenerational wealth management through predictive Web3 models that identify long-term value behaviors (e.g., savings, investing, gifting, and legacy planning).
Sample Comprehensive Financial Plan PDF
Table of Contents📖
Features✨
- 20 factor Financial Wellness model 💃
- AI algorithm to determine factors most likely to increase annual earnings 📊
- Savings & Investment Readiness Scores – Evaluates preparedness for goals like retirement, college, or emergencies. 📈
- Heirloom Planner – Tracks family asset transfer potential and readiness. 📘
Tech Stack🛠
- Languages: Python, Bash
- Libraries: NumPy, Pandas, PyTorch, Scikit-learn, TensorFlow, XGBoost
- DevOps: GitHub
- UX/UI Visualization: CSS3, HTML5, Kotlin, Matplotlib, Plotly, React, Seaborn, Swift
How to Use Demo Model
- Install Apple Test Flight from the App Store
- Download and install the Financial Wellness iOS app for iPhone
- Run the Random Forest classifier in a Jupyter Notebook
Prerequisites
Apple iOS 14+ or, Python 3.10+ and Basic understanding of Visual Studio Code or Jupyter Notebooks
Enterprise Use Cases📈
- Financial Advisors. Personalize client roadmaps and improve retention
- HR / Employers. Offer wellness assessments as benefits
- Banks & FinTechs. Prequalify users for products based on predictive behaviors
- Insurance. Enhance underwriting with predictive financial wellness data
- Wealth Management. Spot heirs, gaps, and legacy opportunities at scale
License⚖️
This project is licensed under a dual license. For personal or research use, you are free to use, modify, and distribute this software with attribution, but must open source modifications to the community. Integration into closed source, commercial proprietary systems requires a low cost annual subscription and license fees. See license.txt for details.
Contact📬
- Name: Abraham Doe
- Email: abrahamdoe@gmail.com
- GitHub: Portfolio
Acknowledgements🙏
- CFP Board for the Code of Ethics and Standards of Conduct.
- Dalton Education for defining holistic financial wellness models.
- The College for Financial Planning
- NYU School of Professional Studies.
- The CFA Institute.
- US Census for real-world finance research.
- UC Irvine datasets used for experimentation, hypothesis testing, and model validation.
- OpenAI for foundational ML knowledge & frameworks.
- I am grateful. Thank you!