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PaperPress AI
Python Flask
OpenAI-compatible API
HTML/CSS/JS
Prompt Engineering
PaperPress AI
Role: Python Backend Developer
Date: 2026.05 - 2026.06
Overview
Designed and implemented an end-to-end AI-driven newspaper generation full-stack application. Users can input any article or upload files, and the AI automatically parses the content structure and renders it in a vintage newspaper-style layout.
Key Contributions
- Built a lightweight Flask backend service implementing file upload, asynchronous AI calls, and real-time rendering pipeline
- Completed the full pipeline from content parsing to newspaper style generation on the frontend
- Integrated OpenAI-compatible API for intelligent content analysis and layout generation
Tech Stack
- Python Flask for backend services
- OpenAI-compatible API for AI content processing
- HTML/CSS/JS for frontend rendering
- Prompt Engineering for optimized AI output
Links
- Live Demo: https://digouyou.top/newspaper/