Affiliation:
1. The Oxford College of Engineering (TOCE), Bengaluru, Karnataka, India
Abstract
The website design for the automated code generator begins with creating and uploading individual mock-ups images, which can be hand-drawn with the help of graphics and visual tools. The software programmer then converts the template to produce a standard HTML or CSS code. This process is usually done several times until a suitable model is obtained. The aim of this research is to automate the process of generating code from the drawing model. Computer vision techniques are used to create the plans and then techniques like DL (Deep Learning) and ML (Machine Learning) are used to create the proposed system.
Reference15 articles.
1. [1] A. Karpathy and L. Fei-Fei, “Deep visual- semantic alignments for generating image descriptions,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3128–3137.
2. [2] Senmao Ye, Nian Liu, Junwei Han, Senior Member, IEEE “Attentive Linear Transformation for Image Captioning” JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
3. [3] Jicheng Fu.; Farokh B. Bastani; I-ling Yen “Automated AI Planning and Code Pattern- Based Code Synthesis” Proceedings in the 18th IEEE International Conference on the topic of Tools with Artificial Intelligence(AI) (ICTAI'06) 0-7695-2728- 0/06
4. [4] Mert Kilickayya, Aykut Erdem, Nazli Ikizler- Cinbis, and Erkut Erdem “Re-evaluating Automatic Metrics for the Image Captioning “arXiv:1612.07600v1 [cs.CL] 22 Dec 2016
5. [5] S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer, “Scheduled sampling for sequence prediction with recurrent neural networks,” in Advances in Neural Information and of the Processing of Systems, 2015, pp. 1171–1179.