Abstract:
"
People are always trying to choose or buy something by themselves, because they can check the
quality of the product before buying. But due to the busy schedule of the day today life, people
tend to buy things quickly without concerning the quality of products. And most the time they
are seeking help from others to buy the perfect one. Even though it helps to save their time, they
are unable to purchase the good which is most suitable for them and with their ideas.
These kinds of problem arise when choosing tiles for newly built house. Because people have to
ask help from the employee at the shop or ask from interior designer to choose tiles due to busy
life. If someone take advice from interior designer it cost a lot. On the other hand, when someone
ask help from the employee, it doesn't cost but it wouldn't be same as your preference because
the employee have no idea about the newly built house and your references. Because there are a
lot of factors that people consider when choosing a tile personally. For instance, no matter how
suitable the tile, you consider its price. And also looks at the color of the walls, the location of
the tiles, and the color of the tiles etc.
Imagine how it will be convenient if there is a system which can provide details or make
recommendations about suitable tile type and the quality of tile ones you input your
requirements. So, this research paper discusses how to create a Deep Learning Model using
Keras to create this tile recommendation system. Deep Learning is a key component of machine
learning and artificial intelligence.
"
