This platform offers automated industry analysis reports by integrating patent data retrieval, AI-driven insights, and interactive visualizations.
The Django Patent Insight Analysis Platform offers the following key features:
-
Patent Search: Users can search for patents using keywords, making it easier to find patents in specific fields or topics.
-
Data Visualization: The platform provides a variety of data visualization options, including annual patent distribution and geographic distribution of innovators, helping users to understand the data intuitively.
-
Domain Analysis: Analyze patent trends and innovators in specific fields, including geographical distribution and time evolution of patent numbers.
-
Report Generation: Users can generate and download PDF reports containing detailed analysis results for offline review and sharing.
-
AI-Enhanced Insights: Integrating GPT-4 for advanced data interpretation and utilizing Jieba for Chinese text segmentation and keyword extraction, the platform delivers enhanced insights into patent trends and key topics through AI-driven analysis and natural language processing.
-
WebSocket Communication: Ensuring smooth and live data transfer using WebSocket for a responsive user experience during interactive sessions.
This project is built using the following technologies and frameworks:
- Backend: Django (Python) - for creating robust server-side applications and APIs.
- Database: MySQL - for storing patent data and user information.
- Frontend: HTML, CSS, JavaScript - for building interactive user interfaces.
- Data Visualization: ECharts, wordCloud, and NetworkX - provides rich options for data visualization.
- AI and NLP:
- GPT-4-Vision - for generating AI-enhanced insights and data interpretation.
- Jieba - for Chinese text segmentation and keyword extraction.