IMAGE BASED MERN STACK FOR SERVICE DISCOVERY USING METHOD WEB SERVICE
DOI:
https://doi.org/10.29121/shodhkosh.v7.i2s.2026.7038Keywords:
E-Commerce, Logic Search, Machine Learning, Web DiscoveryAbstract [English]
The primary technologies used to build this "E-commerce web service using MERN" are Mongodb, Nodejs, Express, and React. All consumers can browse a large selection of products, but to add a product to their shopping basket, they must first register and log in. Customers can read reviews made by other users before making a purchase. The number of items a customer adds to their shopping basket is up to them. The quantity of a product put on the cart can thereafter be modified by the customers. Finally, customers can enter their information during checkout and submit their order by paying the appropriate amount for it. The administrator can then view the customer's data, including order details, the delivery address for the order, and whether the payment has been received. Due to the inability to try on clothing while purchasing clothing online, it might be challenging for a consumer to choose a desirable outfit on the first try. The virtual try-on assignment has the potential to greatly increase the effectiveness of creating fashion catalogues and improve online user experience. This undertaking seeks to address this issue.
References
Cao, Z., Simon, T., Wei, S.-E., and Sheikh, Y. (2017). Realtime Multi-Person 2D Pose Estimation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. DOI: https://doi.org/10.1109/CVPR.2017.143
Cassar, G., Barnaghi, P., and Moessner, K. (2011, August). A Probabilistic Latent Factor Approach to Service Ranking. 2011 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) (103–109). IEEE. https://doi.org/10.1109/ICCP.2011.6047850 DOI: https://doi.org/10.1109/ICCP.2011.6047850
Chanana, N., and Goele, S. (2022). Future of E-Commerce in India. International Journal of Computing and Business Research, Proceedings of I-Society (2022).
Fortune. (2016). Consumers are Now Doing Most of Their Shopping Online. Fortune.
Gong, K., Gao, Y., Liang, X., Shen, X., Wang, M., and Lin, L. (2022). Graphonomy: Universal Human Parsing Via Graph Transfer Learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Guo, W.-Y., Quhai-Cheng, and Chen, H. (2010). Semantic Web Service Discovery Algorithm and Its Application on the Intelligent Automotive Manufacturing System. 2010 International Conference on Information Management and Engineering. IEEE. https://doi.org/10.1109/ICIME.2010.5478166 DOI: https://doi.org/10.1109/ICIME.2010.5478166
Kadam, S. A., and Chavan, M. S. (2019). Design of Digital Filter by Differential Evolution. International Journal of Recent Technology and Engineering, 8(2), 2207–2210. https://doi.org/10.35940/ijrte.B2420.078219
Kadam, S., Kadam, P., Jadhav, P., Gurav, S., Patil, V., and Prabhakar, A. (2024). Atmospheric Water Generator Using Smart Automation Systems. SSRG International Journal of Electrical and Electronics Engineering, 11(4), 206–216. https://doi.org/10.14445/23488379/IJEEE-V11I4P122 DOI: https://doi.org/10.14445/23488379/IJEEE-V11I4P122
Kadam, S., and Chavan, M. S. (2019). Design Differential Evolution Algorithm that Effect on Order of Filters. International Journal of Scientific and Technology Research, 8(11).
Kadam, S., and Chavan, M. S. (2019). Design of Digital Filter by Differential Evolution. International Journal of Recent Technology and Engineering, 8(2), 2207–2210. https://doi.org/10.35940/ijrte.B2420.078219 DOI: https://doi.org/10.35940/ijrte.B2420.078219
Kadam, S., and Chavan, M. S. (2019). Design of Digital Filter by Genetic Algorithm. International Journal of Engineering and Advanced Technology, 8(6), 397–400. https://doi.org/10.35940/ijeat.E7808.088619
Kadam, S., and Chavan, M. S. (2019). Design of Digital Filter by Genetic Algorithm. International Journal of Engineering and Advanced Technology, 8(6), 397–400. https://doi.org/10.35940/ijeat.E7808.088619 DOI: https://doi.org/10.35940/ijeat.E7808.088619
Kadam, S., and Chavan, M. S. (2019). Performance of Particle Swarm Optimization for Reducing System Delay. International Journal of Scientific and Technology Research, 8(11).
Lee, S., Gu, G., Park, S., Choi, S., and Choo, J. (2022). High-Resolution Virtual Try-on with Misalignment and Occlusion-Handled Conditions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. DOI: https://doi.org/10.1007/978-3-031-19790-1_13
Ma, J., Cao, J., and Zhang, Y. (2007, May 8–12). A Probabilistic Semantic Approach for Discovering Web Services. Proceedings of the 16th International Conference on World Wide Web (WWW 2007). ACM. DOI: https://doi.org/10.1145/1242572.1242776
Rajendran, T., and Balasubramanie, P. (2010). An Optimal Agent-Based Architecture for Dynamic Web Service Discovery With QoS. 2010 Second International Conference on Computing, Communication and Networking Technologies. IEEE. https://doi.org/10.1109/ICCCNT.2010.5591673 DOI: https://doi.org/10.1109/ICCCNT.2010.5591673
VITON. (2018). An Image-Based Virtual Try-on Network. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Wei, W., Barnaghi, P., and Bargiela, A. (2010). Probabilistic Topic Models for Learning Terminological Ontologies. IEEE Transactions on Knowledge and Data Engineering, 22(7), 1028–1040. https://doi.org/10.1109/TKDE.2009.122 DOI: https://doi.org/10.1109/TKDE.2009.122
Wengerong, and Liu, K. (2010). A Survey of Context-Aware Web Service Discovery: From User's Perspective. 2010 Fifth IEEE International Symposium on Service Oriented System Engineering. IEEE. https://doi.org/10.1109/SOSE.2010.54 DOI: https://doi.org/10.1109/SOSE.2010.54
Zhang, T., Cao, L., and Wang, W. Y. C. (2017). The Impact of Virtual Try-On Image Interaction Technology on Online Shoppers' Purchase Decision. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. https://doi.org/10.1145/3026480.3026484 DOI: https://doi.org/10.1145/3026480.3026484
Zhang, T., Wang, W., Cao, L., and Wang, Y. (2019). The Role of Virtual Try-On Technology in Online Purchase Decisions from Consumers' Aspect. Internet Research. https://doi.org/10.1108/IntR-12-2017-0540 DOI: https://doi.org/10.1108/IntR-12-2017-0540
Zhou, B., Tingleihuan, J., and Shen, M. (2009). Using Inverted Indexing to Semantic Web Service Discovery Search Model. 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing. IEEE. https://doi.org/10.1109/WICOM.2009.5301035 DOI: https://doi.org/10.1109/WICOM.2009.5301035
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Copyright (c) 2026 Dr. Sudhir Kadam, Aparna Patil, Dr. Yogesh Mali, Dr. Sachin Gurav, Dr. Sarang Maruti Patil, Rajendra More
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