25 Jul 2025

When choosing a suitable PHP framework, you need to consider comprehensively according to project needs: Laravel is suitable for rapid development and provides EloquentORM and Blade template engines, which are convenient for database operation and dynamic form rendering; Symfony is more flexible and suitable for complex systems; CodeIgniter is lightweight and suitable for simple applications with high performance requirements. 2. To ensure the accuracy of AI models, we need to start with high-quality data training, reasonable selection of evaluation indicators (such as accuracy, recall, F1 value), regular performance evaluation and model tuning, and ensure code quality through unit testing and integration testing, while continuously monitoring the input data to prevent data drift. 3. Many measures are required to protect user privacy: encrypt and store sensitive data (such as AES

23 Jul 2025

To build a monetizable PHP multi-user blog system, you need to build a solid technical foundation and then design a business model; 2. Data security must be pre-processed to prevent SQL injection, password salt hashing, XSS/CSRF defense, and regular patch updates; 3. Performance optimization relies on database indexing, caching mechanism (Redis), CDN to accelerate static resources, and asynchronous queue processing tasks; 4. Content review can adopt a hybrid mode of pre- (new user) and post- (old user) combined with AI recognition and keyword filtering; 5. In addition to advertising, profit methods can also provide paid subscriptions (customized domain names, data analysis), rewards, knowledge payment, affiliate marketing and event sponsorship.

25 Jul 2025

User voice input is captured and sent to the PHP backend through the MediaRecorder API of the front-end JavaScript; 2. PHP saves the audio as a temporary file and calls STTAPI (such as Google or Baidu voice recognition) to convert it into text; 3. PHP sends the text to an AI service (such as OpenAIGPT) to obtain intelligent reply; 4. PHP then calls TTSAPI (such as Baidu or Google voice synthesis) to convert the reply to a voice file; 5. PHP streams the voice file back to the front-end to play, completing interaction. The entire process is dominated by PHP to ensure seamless connection between all links.

25 Jul 2025

PHP's role in the recommendation system is the "coordinator", responsible for data collection, API calls, result presentation and business logic integration; 2. Its limitation is that it is not good at computing-intensive tasks, weak AI ecology, and limited memory and concurrency processing capabilities; 3. The selection of technology stack should evolve according to stage: initially use PHP rules to recommend, and data accumulates and connects to Python AI service or cloud recommendation API; 4. The mainstream solution is "PHP Python service" to communicate through REST/gRPC, supplemented by message queue decoupling; 5. Challenges include cold start, data sparseness, real-timeness, and evaluation difficulties. The response strategies cover mixed recommendation, cache pre-computing, A/B testing and continuous model iteration, and the system needs long-term optimization to achieve results.

30 Apr 2025

Use the Laravel framework to build a fully functional blog system and integrate user authentication functions. 1) Understand Laravel's MVC architecture, including models, views and controllers. 2) Use Laravel's user authentication system to achieve registration, login and permission management. 3) Define the mapping of URL and controller methods through route definition to realize the CRUD operation of the article. 4) Optimize system performance, use caching and paging, and follow best practices such as code readability and test-driven development.

02 Aug 2025

Create Comment model and migration and run migration; 2. Define corresponding relationships in Post, User and Comment models; 3. Add a comment form on the article details page; 4. Create CommentController and process comment submissions in the store method; 5. Register a comment submission route with authenticated middleware in the route; 6. Display all comments of the article on the page; 7. Optional enhancements include nested reply, Markdown support, anti-spam, auditing and real-time updates; 8. Pay attention to input filtering, CSRF protection and permission control to ensure system security. This comment system is implemented based on Laravel convention, supports authenticated users to post comments and is scalable.

20 Apr 2025

Global Assets launches a new AI intelligent trading system to lead the new era of trading efficiency! The well-known comprehensive trading platform Global Assets officially launched its AI intelligent trading system, aiming to use technological innovation to improve global trading efficiency, optimize user experience, and contribute to the construction of a safe and reliable global trading platform. The move marks a key step for global assets in the field of smart finance, further consolidating its global market leadership. Opening a new era of technology-driven and open intelligent trading. Against the backdrop of in-depth development of digitalization and intelligence, the trading market's dependence on technology is increasing. The AI ??intelligent trading system launched by Global Assets integrates cutting-edge technologies such as big data analysis, machine learning and blockchain, and is committed to providing users with intelligent and automated trading services to effectively reduce human factors.

21 Nov 2024

In the ever-evolving landscape of web development, content creators and developers are constantly seeking powerful yet flexible platforms to manage and publish their digital content. One such platform that stands out is ReactPress, an open-source pub

25 Jul 2025

It is feasible to build an intelligent document management system for text classification by combining AI. The core is to call external AI services through APIs to realize automated classification; 2. Specific application scenarios include automated archiving and routing, information extraction and structure, intelligent search, compliance management and workflow automation; 3. Selecting AI services requires considering data characteristics, cost, performance, team capabilities, privacy compliance and ease of use; 4. Technical details cover multi-format document analysis, text preprocessing, asynchronous queues, error retry, data storage indexing, permission security and system monitoring.