Chatbot Based Online Shopping Web Application
Dasari Veera Reddy1, Madugula Padmaja2, Komirisetti Manoj Kumar3, Kunchala Shiva Kiran4, Pariki Pramod5
1Dasari Veera Reddy, Asst. Professor Department of Data Science, Malla Reddy University, Hyderabad, India.
2Dr. Madugula Padmaja, Asst. Professor, Department of CSE, GITAM University, Visakhapatnam, India.
3Korimisetti Manoj Kumar, UG Student, Department of CSE, SR University, Hanumakonda, India.
4Kunchala Shiva Kiran, UG Student, Department of CSE, SR University, Hanumakonda, India.
5Pariki Pramod, UG Student, Department of CSE, SR University, Hanumakonda, India.
Manuscript received on 18 May 2023 | Revised Manuscript received on 12 June 2023 | Manuscript Accepted on 15 June 2023 | Manuscript published on 30 March 2024 | PP: 7-14 | Volume-3 Issue-4 June 2023 | Retrieval Number: 100.1/ijdcn.B978213020124 | DOI: 10.54105/ijdcn.B9782.03040623
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study presents an innovative chatbot system aimed at transforming product recommendation and customization. It integrates feature-based input analysis and user-driven updates to provide tailored product recommendations. Users can input specific product features, leading to personalized suggestions that align precisely with their preferences. Utilizing a dynamic customization framework, the chatbot consistently refines recommendations based on user interests, ensuring a personalized and evolving user experience. The project seeks to reshape the realm of product recommendation systems by providing a seamless and adaptable interface, enhancing the exploration and acquisition of products that precisely match individual needs and preferences.
Keywords: Chatbot Based Online Shopping Web Application
Scope of the Article: Internet and Web Applications