International Journal of Scientific Research and Engineering Development

Artificial Intelligence has enabled the development of intelligent web systems capable of performing automated data interpretation and visual analysis. This paper presents the design and implementation of an AI-Based Web System for Profile Summarization and Visual Recognition developed using Python (Flask framework), OpenCV, Dlib-based facial embeddings, Ultralytics YOLO model, and SQLite database. The system integrates four independent modules: Profile Summarization, Face Feed, Face Recognition, and Object Detection.The Profile Summarization module retrieves textual information from web sources and generates concise summaries using Natural Language Processing techniques. The Face Feed module captures and stores facial images along with metadata, while the Face Recognition module performs identity verification using 128-dimensional facial embeddings. The Object Detection module detects real-time objects using a pretrained YOLO model.The system demonstrates modular design, scalability, and practical implementation of AI techniques within a web-based environment.

Aishwariya Eswara V, Poorana Senthilkumar S, "AI-Based Web System for Profile Summarization and Visual Recognition " International Journal of Scientific Research and Engineering Development, V9(2): Page(57-61) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.