In an era where automation and intelligent decision-making are integral to both professional and personal spheres, ThoAI (The Household Optimizer AI) emerges as a pioneering solution. Designed to bridge the gap between complex algorithmic trading concepts and everyday applications, ThoAI empowers individuals to harness the principles of algorithmic thinking for optimizing household and small business decisions.
By demystifying trading strategies and translating them into practical tools, ThoAI serves as an educational and functional assistant. Whether it's budgeting, resource allocation, or time management, ThoAI provides insights and suggestions grounded in algorithmic logic, making sophisticated financial strategies accessible to all.
- Educational Insights: Simplifies complex algorithmic trading concepts into understandable lessons for users of all backgrounds.
- Practical Applications: Demonstrates how trading strategies can be applied to everyday scenarios, such as budgeting, shopping, and scheduling.
- Interactive Q&A: Engages users in a conversational manner, answering queries related to both trading and daily optimization.
- Adaptive Learning: Continuously updates its knowledge base to provide relevant and up-to-date information.
- Personal Finance: Apply mean-reversion strategies to manage household budgets effectively.
- Time Management: Utilize momentum-based approaches to optimize daily routines and task prioritization.
- Small Business Operations: Implement algorithmic pricing models to enhance product pricing strategies.
- Educational Tool: Serve as a learning companion for students and enthusiasts interested in finance and automation.
Contributions are welcome! If you have suggestions for improvements or new features, please fork the repository and submit a pull request. For major changes, open an issue first to discuss what you would like to change.
This project is licensed under the MIT License. See the LICENSE file for details.
ThoAI is grounded in interdisciplinary research across human-AI collaboration, algorithmic decision-making, and the emerging role of generative AI in everyday life and work. Key references include:
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Amershi, S., et al. (2019). Guidelines for Human-AI Interaction. Proceedings of CHI. https://doi.org/10.1145/3290605.3300233
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Horvitz, E. (1999). Principles of Mixed-Initiative User Interfaces. Proceedings of CHI. https://doi.org/10.1145/302979.303030
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Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2020.1741118
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Seeber, I., et al. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information & Management, 57(2). https://doi.org/10.1016/j.im.2019.103174
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Binns, R., et al. (2018). ‘It’s Reducing a Human Being to a Percentage’: Perceptions of Justice in Algorithmic Decisions. CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3173574.3173951
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Luger, E., & Sellen, A. (2016). “Like Having a Really Bad PA”: The Gulf between User Expectation and Experience of Conversational Agents. Proceedings of CHI. https://doi.org/10.1145/2858036.2858288
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Yang, Q., et al. (2020). From “Human-in-the-Loop” to “Human-on-the-Loop”: Designing AI Systems with Human Agency in Mind. ACM Transactions on Interactive Intelligent Systems. https://doi.org/10.1145/3313831
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Gil, Y., et al. (2022). Designing Human-Centered AI: Interdisciplinary Concepts and Tools for Making AI Work for People. AI Magazine. https://doi.org/10.1002/aaai.12064
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Weidinger, L., et al. (2022). Taxonomy of Risks Posed by Language Models. arXiv preprint: https://arxiv.org/abs/2203.09336
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O’Neill, M., et al. (2023). Everyday Use of Generative AI at Work: Early Observations and Research Opportunities. Workshop on Generative AI and HCI @ CHI 2023. PDF
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Kim, B., et al. (2023). How People Actually Use Generative AI Tools at Work. Microsoft Research. https://www.microsoft.com/en-us/research/blog/how-people-actually-use-generative-ai-tools-at-work/
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Park, H. W., & Shah, S. (2023). Beyond Productivity: Rethinking Work in the Age of Generative AI. Proceedings of CHI EA 2023. https://doi.org/10.1145/3544549.3585801
ThoAI – Bringing algorithmic intelligence to everyday life.