شماره ركورد
14809
عنوان
مطالعه روشهاي طراحي خودكار صفحات وب
سال تحصيل
1402
استاد راهنما
محمدرضا كنگاوري
چکيده
Websites are an integral part of our digital world, with more than 1.11 billion active sites currently available on the internet. Each day, approximately 252,000 new websites are launched, highlighting the rapid growth and evolution of online content. In this realm, transforming website layout designs into functional user interface code is an essential yet often time-consuming aspect of web development. For many, particularly those without a strong technical background, the traditional methods of converting visual designs into working code can feel overwhelming. This process typically involves a deep understanding of programming languages and frameworks, which can create barriers for designers and struggle with the technical aspects of implementation. Fortunately, the field of code generation from graphical user interface images has emerged as a promising area of research and innovation. Recent advancements in machine learning and artificial intelligence have significantly improved the ability to convert user interfaces into code. These technologies allow for a more efficient and effective translation of visual designs into functional code, streamlining the development process. This not only helps bridge the gap between design and development but also empowers individuals with varying levels of technical expertise to bring their creative visions to life with greater ease. As this field continues to evolve, it holds the potential to transform how websites are built, making web development more accessible and efficient for everyone involved
نام دانشجو
ايثار باجي
تاريخ ارائه
6/10/2025 12:00:00 AM
متن كامل
86882
پديد آورنده
ايثار باجي
تاريخ ورود اطلاعات
1404/04/22
عنوان به انگليسي
The Study of automatic Web Page design methods
كليدواژه هاي فارسي
هوش مصنوعي , يادگيري عميق , توليد كد
كليدواژه هاي لاتين
Artificial intelligence , Deep learning , Code generation