📄 中文摘要
在许多组织中，宝贵的洞察力往往被锁定在需要手动导航和解释的仪表板后。为了提高数据的可访问性和实用性，提出了一种结合 FastAPI、Streamlit 和 XGBoost 的需求预测助手。该助手旨在简化数据分析过程，使用户能够更轻松地获取和理解需求预测信息。通过构建一个用户友好的界面，用户可以快速输入数据并获得实时预测，从而支持更有效的决策。第一阶段的重点在于实现基本功能，后续将进一步优化和扩展该系统。
利用 FastAPI、Streamlit 和 XGBoost 构建需求预测助手（第一阶段）
📄 English Summary
Building a Demand Forecasting Copilot with FastAPI, Streamlit, and XGBoost (Phase 1)
Many organizations have valuable insights locked behind dashboards that require manual navigation and interpretation. To enhance data accessibility and usability, a demand forecasting copilot combining FastAPI, Streamlit, and XGBoost is proposed. This copilot aims to streamline the data analysis process, allowing users to easily access and understand demand forecasting information. By building a user-friendly interface, users can quickly input data and receive real-time predictions, thereby supporting more effective decision-making. The focus of Phase 1 is on implementing basic functionalities, with plans for further optimization and expansion of the system in subsequent phases.