Today, the growing market of entertainment has placed a higher demand for music. Quality music is essential for video making, video game making, or even in any public places. However, sometimes finding a suitable list of music can be hard and expensive. This may be solved by automatic, deep-learning based music making. Using Recurrent Neural Network, computers are able to learn the patterns from existing music pieces and convert them to a possibility map. Companies like Google, Sony, and Amper are creating their applications for music generation. We plan to set up a platform where generating music can be done and retrieved directly online. With different options for genre and length, the users can conveniently generate music that fits their needs.