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Laptop Recommendation System
Made with: Next.js, TypeScript, Prisma, MySQL
Visit Website Laptop Recommendation System is a web application that helps users find the perfect laptop based on their preferences. The idea for this project came about when we realized that many people struggle with finding the right laptop for their needs. To address this issue, we decided to build an AI-powered laptop recommendation system that can analyze users' usage patterns and recommend laptops that meet their specific needs.
To develop this application, we used the Next.js framework with TypeScript for the frontend and Prisma ORM with MySQL for the backend. These technologies allowed us to build a fast, reliable, and user-friendly web application that can make laptop recommendations in real-time.
We started by collecting data on various laptops available on the market, including their specifications and price points. We also gathered information on users' preferences, such as their budget, intended use for the laptop, and desired features. We then trained an AI model to analyze this data and recommend laptops based on the user's specific needs.
The result is a web application that allows users to input their preferences and receive personalized laptop recommendations in seconds. With Laptop Recommendation System, users can make informed decisions when purchasing a new laptop, saving them time and money in the process.
To develop this application, we used the Next.js framework with TypeScript for the frontend and Prisma ORM with MySQL for the backend. These technologies allowed us to build a fast, reliable, and user-friendly web application that can make laptop recommendations in real-time.
We started by collecting data on various laptops available on the market, including their specifications and price points. We also gathered information on users' preferences, such as their budget, intended use for the laptop, and desired features. We then trained an AI model to analyze this data and recommend laptops based on the user's specific needs.
The result is a web application that allows users to input their preferences and receive personalized laptop recommendations in seconds. With Laptop Recommendation System, users can make informed decisions when purchasing a new laptop, saving them time and money in the process.