We know that robust and large-scale recommendation systems are already deployed on leading e-commerce websites like Amazon and Flipkart. But apart from these e-commerce giants, there are a massive number of businesses initiated during the pandemic times. Not all businesses can afford to employ machine learning engineers who can build huge and advanced recommendation systems for them. There’s a gap in the market for a product that can help newly-established businesses grow with low investment. Our product “Fashify” can bridge this gap. This was the motivation behind building this project to elevate the sales of the newly-established businesses which will, in turn, help in boosting the economy of the country if implemented on a wider scale. Since our product is feasible but effective at the same time, the prospective clients don’t need to invest much but still, they can get the desired results with the recommendations made by our product “Fashify”
It helps the users to find products through an image.
- It aims to provide an easy-to-use interface that assists the user in finding a product that they might find visually appealing to them by simply clicking an image of the product and uploading it on the localhost web page.
- It aims to provide the user with products that the model deemed to be similar to the uploaded image.
- It aims to empower small businesses and firms to make them able to withstand the market among other companies.
- It aims to provide several key insights and the various trade-offs involved in the process of building a horizontally scalable, stable, cost-effective, state-of-the-art Visual Recommendation engine, running on commodity hardware resources.
This was a team project. You can contact my other mates.