Projects

This project systematically analyzes the structural impact, transmission mechanisms, and regulatory challenges of AI in the global labor market. It proposes a RegTech-enabled governance framework and cross-border policy coordination approach, arguing that technology and institutions jointly shape employment patterns in the AI era.

This project builds a multidimensional cryptocurrency factor framework and iteratively optimizes strategies through OLS benchmark models, XGBoost, CatBoost, and other machine learning methods. A minimalist generative-AI strategy ultimately achieves the best back-tested return of 113.75%, highlighting signal efficiency, overfitting control, and simple execution frameworks in crypto markets.

Targeting key pain points in tight gas exploration and development, this project developed a fracture information database and an AI-powered intelligent evaluation model. It improved data processing efficiency by 39.7%, increased the proportion of high-yield wells from 30% to 56.9%, and reduced single-well development costs by 25%. The core technology is internationally pioneering, has been implemented by Sinopec, and has secured RMB 3.66 million in orders, demonstrating strong technical barriers, commercial value, and strategic significance for energy security.

Focusing on the circular economy of waste plastics, this project developed HDPE physical modification technology, an intelligent sorting platform, and efficient crushing equipment. It increased recycling rates by 28% and extended product life to 8 years. With 3 patents, 2 software copyrights, corporate collaboration, and pilot testing, the project built an end-to-end model covering recycling, modification, and high-value reuse, combining environmental impact with business feasibility.

Using Porter's Five Forces, SWOT, and ESG frameworks, this report analyzes the external environment and competitiveness of Pets at Home. It further applies DuPont analysis, liquidity ratios, working capital analysis, capital structure review, and relative valuation methods (PE/EV/EBITDA) to assess financial performance, concluding that the company is transitioning from growth to maturity with stable finances and undervalued investment potential, while also identifying key risks.

Designed for Gen Z's 'punk health' consumption needs, this business plan proposes a differentiated wellness brand. Based on PEST, 4Cs, SWOT, and Five Forces analysis, it covers a WeChat mini-program platform, proprietary product development, online marketing, and financial projections, positioning the business in a blue-ocean market with a lightweight implementation strategy.