Virtual Trial Room for Online Shopping
It normally takes a lot of time to try on things in a store. However, in situations like Online Shopping, it might not even be able to try on clothing. The popularity of online purchasing has greatly increased nowadays especially after Covid lockdowns and pandemic breakdowns. When buying things like clothing, it’s important to understand how the clothing will look on the buyer. This is the main cause of the decline in online clothing sales. So, a virtual trail room for online shopping would be a tremendous luxury for online retailers that could offer a large selection to users. This would allow people to see how clothes fit them individually. This would be a fantastic tool for Online shopping marketers to expand their market. By establishing a virtual trail room setting, we hope to improve accessibility and time efficiency for trying on clothing. In this project, we provide an Open-CV-based virtual trail room application for online shopping. The Virtual Trail Room is an innovative solution that offers a personalized and immersive shopping experience to online shoppers. With the increasing popularity of e-commerce, customers face the challenge of not being able to try on clothes before purchasing them. The Virtual Trail Room addresses this issue by allowing customers to virtually try on clothes in a digital environment. Additionally, this solution saves time and increases convenience for customers who do not have the time or inclination to physically visit a store. The Virtual Trial Room offers several benefits to customers, including the ability to visualize how clothes would look on them before making a purchase, the convenience of shopping from home, and the ability to compare different styles and sizes easily. It also benefits e-commerce businesses by reducing the likelihood of returns due to sizing issues and increasing customer satisfaction. Overall, the Virtual Trail Room is an innovative solution that bridges the gap between online shopping and traditional in-store shopping. It provides a personalized and engaging shopping experience to customers, which can significantly improve the overall customer experience and boost sales for e-commerce businesses.
PROJECT OUTPUT VIDEO:
ALGORITHM / MODEL USED:
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- Monitor : 15’’ LED
- Input Devices : Keyboard, Mouse
- Ram : 4 GB
- Recording Live Video : Web Camera
- Operating system : Windows 10.
- Coding Language : Python 3.8
- Web Framework : Flask