The aim of this project is to develop a highly automated, Laravel-based database for scientific articles that integrates articles from three large scientific databases (arXiv, bioRxiv, medRxiv). The application provides users with an easily accessible source of scientific content and uses artificial intelligence to automatically maintain the articles, translate them into multiple languages and generate metadata and social media content. The focus here is on optimizing page loading times for a large amount of data (up to 2.5 million pages) as well as the use of innovative caching techniques for resource-saving, fast provision of content.
URL: simplescience.ai
Functionalities in detail
- Automated article processing:
- The application imports and processes articles from the arXiv, bioRxiv and medRxiv databases completely automatically.
- Each article is processed by artificial intelligence in a reader-friendly, simplified version to facilitate access to scientific findings for a broad user base.
- The application provides AI-powered translations of article content in five languages (French, Italian, Spanish, Portuguese), enabling international reach.
- SEO-optimized meta data & social media optimization:
- SEO-optimized meta data is generated by AI-powered analysis of article content, ensuring high visibility in search engines.
- In addition, the AI creates a social media image for each article and language version, which is optimized for targeted distribution on social platforms, and publishes selected articles on Twitter/X.
- Creation of glossaries and topic pages:
- Another feature is the automatic generation of glossary pages as well as topic and keyword pages that redirect users to relevant articles based on the topic.
- These pages are also SEO-optimized and contribute to improving the user experience and internal linking.
- Highly optimized loading times for high scalability:
- The platform is designed for high performance to efficiently handle large amounts of data (approximately 2.5 million pages) and traffic spikes.
- SQLite is used as a database to enable fast queries and low loading times, especially for frequent requests.
- Caching strategies and Cloudflare integration:
- Optimized caching headers for Cloudflare deliver high-traffic pages “on the edge”, minimizing load times even when demand is high.
- In addition, customized caching methods are used to cache individual page elements (fragments) and thus further reduce server load and loading times.