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Skincare Recommendation System
Made with: Next.js, TypeScript, Prisma, MySQL
Skincare is an important aspect of our daily routine, but it can be challenging to find products that work for our unique skin types. This was the inspiration behind the Skincare Recommendation System, a web application built using Next.js, TypeScript, Prisma, and MySQL. The idea for the project came from a friend who expressed her struggles with finding skincare products that were right for her skin type.
To validate our idea, we conducted extensive research on skincare and collaborated with experts in the field. Through our research, we discovered that many people faced the same challenges when it came to finding the right skincare products. With this in mind, we set out to create a user-friendly web application that would diagnose users' skin types and provide personalized product recommendations based on their unique characteristics.
To build the Skincare Recommendation System, we utilized Next.js, a popular and powerful React framework that allowed us to build fast and scalable web applications. We also used TypeScript, a superset of JavaScript that provided us with type safety and helped us write cleaner and more maintainable code. Prisma, a modern ORM for Node.js, was used to manage our database, while MySQL was used to store our application data.
The Skincare Recommendation System has become a useful tool for people looking to improve their skincare routines. By providing personalized product recommendations, we hope to make it easier for people to find products that work for their unique skin types. Overall, our goal was to create a reliable and intuitive web application that would help people achieve healthy and glowing skin.
To validate our idea, we conducted extensive research on skincare and collaborated with experts in the field. Through our research, we discovered that many people faced the same challenges when it came to finding the right skincare products. With this in mind, we set out to create a user-friendly web application that would diagnose users' skin types and provide personalized product recommendations based on their unique characteristics.
To build the Skincare Recommendation System, we utilized Next.js, a popular and powerful React framework that allowed us to build fast and scalable web applications. We also used TypeScript, a superset of JavaScript that provided us with type safety and helped us write cleaner and more maintainable code. Prisma, a modern ORM for Node.js, was used to manage our database, while MySQL was used to store our application data.
The Skincare Recommendation System has become a useful tool for people looking to improve their skincare routines. By providing personalized product recommendations, we hope to make it easier for people to find products that work for their unique skin types. Overall, our goal was to create a reliable and intuitive web application that would help people achieve healthy and glowing skin.