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AI-DRIVEN ADAPTIVE WEB CONTENT DELIVERY SYSTEM FOR PERSONALIZED E-COMMERCE EXPERIENCE

Authors:

Dr. Bikramjit Sarkar, HOD, Dept. of CSE, JIS College of Engineering Kalyani, WB, India.

Mr. Kaushik Roy Choudhury, Asst. Professor, Dept. of CSE, JIS College of Engineering Kalyani, WB, India.

Abhinav Kumar, UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, Nadia, WB, India.

Aahan Shrivastava, UG Student, Dept. of CSE, JIS College of Engineering Kalyani, Nadia, WB, India.

Sanjay Kumar Yadav, UG Student, Dept. of CSE, JIS College of Engineering Kalyani, Nadia, WB, India.

ABSTRACT: Our AI-driven adaptive e-commerce platform revolutionizes online shopping by delivering personalized and optimized content in real time. Traditional e-commerce websites often struggle with performance issues due to varying user contexts, such as device type, network speed, and location. Additionally, static content delivery fails to adapt to user preferences, leading to inefficiencies in engagement and conversions. Our solution integrates an intelligent web content delivery system using PHP, MySQL, HTML, CSS, JavaScript, and machine learning. By analysing user behaviour, network conditions, and device capabilities, our system dynamically adjusts content layout, media compression, and priority-based loading, ensuring a seamless user experience. The AI-powered recommendation engine predicts user preferences, displaying relevant products and promotions. Server load is optimized through content tailoring, reducing bandwidth consumption without compromising quality. Security and efficiency are prioritized, ensuring safe transactions and data protection.

With features like real-time user context analysis, AI-driven adaptive content delivery, and dynamic resource management, our platform enhances user engagement, minimizes latency, and maximizes e-commerce performance.

Keywords- AI-Driven; Web; Content Delivery