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PC Building Assistant
- Presenter
- Alan Jesse Berduo
- Campus
- Salem State University
- Sponsor
- Komalpreet Kaur, Department of Computer Science, Salem State University
- Schedule
- Session 2, 11:30 AM - 12:15 PM [Schedule by Time][Poster Grid for Time/Location]
- Location
- Poster Board A18, Campus Center Auditorium, Row 1 (A1-A20) [Poster Location Map]
- Abstract
- The "PC Building Assistant" project is designed as a web-based application to guide novices in assembling computers. It integrates user input to recommend suitable computer components across varied budgets, highlighting performance upgrades and cost implications. The recommendation system will be powered by machine learning algorithms, offering users options such as: Cost-Efficient, Balanced, and Premium. The website will allow you to create a profile to save your configurations, and have up to date recommendation information with new hardware. The project focuses on delivering a user-centric experience, ensuring precise hardware recommendations and smooth incorporation of machine learning within the web interface.
- Keywords
- Machine learning, computer hardware, Web-page developer, PC building
- Research Area
- Computer Science
SIMILAR ABSTRACTS (BY KEYWORD)
| Research Area | Presenter | Title | Keywords |
|---|---|---|---|
| Probability, Statistics, and Machine Learning | Waghe, Shreyas | Fair Machine Learning (0.827586), Machine Learning (0.923077) | |
| Engineering | Li, Agnes | Machine learning | |
| Computer Science | Shaikh, Aymaan | Machine learning | |
| Probability, Statistics, and Machine Learning | Rizvanov, Timur | Machine learning | |
| Mathematics and Statistics | Burns, Benjamin | machine learning |
