| Proj No. | A3059-251 |
| Title | Developing an AI-driven Personalized Recommendation System for Web Applications |
| Summary | This project focuses on developing an AI-driven personalized recommendation system for web applications. Utilizing machine learning algorithms, the system analyzes user behavior, preferences, and historical data to deliver tailored recommendations. Built with React.js for the front end and Python-based AI models for backend processing, the system ensures seamless interaction and real-time suggestions. It supports various applications, including e-commerce, content streaming, and online learning. Advanced data processing techniques, such as collaborative filtering and deep learning, enhance accuracy. The project demonstrates the integration of AI and web development to create a dynamic, user-centric experience that improves engagement and satisfaction. |
| Supervisor | Dr Hu Xiao (Loc:S2 > S2 B2A > S2 B2A 11, Ext: +65 67904543) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Communication Research II (Loc: S2-B3c-26) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |