Paper Key : IRJ************721
Author: Harshal Kumbhalkar,Aryan Dhone,Rushikesh Fegade,Tejas Bachhav,Nita Mahale
Date Published: 19 Nov 2024
Abstract
In the current era of technology, recommendation systems are commonly used to assist individuals in sorting through extensive information and making well-informed choices. Although recommendation systems have been utilized in various fields, such as movies, skincare, and education, there is a lack of research on recommending products for laptops, even though they are crucial in daily activities. Many non-tech-savvy individuals have difficulty selecting the right laptop for their needs, even though laptops are essential for students, professionals, and home users. This study explores how intelligent chatbots can streamline decision making by offering customized laptop suggestions tailored to individual preferences, including budget, usage, and technical requirements. The proposed system uses a combination of Natural Language Processing (NLP) and web scraping to provide current product information during interaction. Information gathered from an Internet survey is utilized to enhance the systems recommendation algorithm, with a specific focus on important factors such as processors, storage, and graphics cards. This system helps people who are not comfortable with technology to overcome difficulties, enabling them to make better decisions when buying laptops. In the future, this recommendation system could broaden its range to include more types of electronic devices.
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