I. Project background
With the development of social economy and the promotion of industrial upgrading, the demand for professional talents in all walks of life is growing day by day. In order to better match the supply and demand of talents and improve the efficiency of human resource allocation, it is particularly important to develop a comprehensive and accurate industrial talent analysis system. The system aims to collect, organize and analyze all kinds of talent information through big data technology, and provide customized talent solutions for enterprises.

Ii. Project objectives
- Build a multi-dimensional talent database, covering educational background, work experience, skill certificates and other information.
- Realize intelligent matching of talent supply and demand and improve recruitment efficiency.
- Provide industry trend analysis to help companies formulate long-term talent development strategies.
- Provide decision-making support to government agencies and promote regional economic development.

Three, function node

1. Data acquisition module
- Automatically crawls data sources such as open job postings on the web, profiles on social platforms, and industry reports.
- Support manual upload of documents (such as resumes, papers, etc.) for personalized processing.

2. Data cleaning and preprocessing
- Clear invalid or duplicate information.
- Standardize the processing of unstructured data into a format that can be analyzed.

3. Talent portrait construction
- Construct multi-dimensional talent profiles based on personal information, work experience, skill labels, etc.
- Use machine learning algorithms to predict talent's career path and potential.

4. Intelligent matching engine
- Based on the similarity between job requirements and talent portraits, accurate recommendations are realized.
- Dynamically adjust the matching strategy to adapt to market changes.

5. Industry analysis and forecast
Analyze industry trends and predict talent gaps for key positions in the next few years.
- Generate visual reports to help users understand market dynamics.

6. User interface and interaction design
- Design simple and intuitive operation interface, easy for users to quickly get started.
- Supports multiple terminal devices (PC, mobile, etc.).

7. Security and privacy protection
- Comply with relevant laws and regulations to ensure the security of data storage and transmission.
- User data is stored encrypted and sensitive information is desensitized.

8. System maintenance and update
- Optimize system performance regularly to ensure operation stability.
- Timely response to user feedback and continuous improvement of functional experience.