GitHub repository: yashpatel2911/Customer-Intelligence
Primary language: Java
Description: Customer Intelligence is aimed to help a newly launched product to collect the feedback from the customer via facial expression recognition and also for the product which is existing in the market. Whenever an industry launches a product in a market such as a newly flavoured ice-cream or a new toolkit, then they will need feedback from the customer to help the developing team to make necessary changes or improve the product. There are traditional ways to take feedback from the customer such as feedback forms or asking them questions about whether they like the product or not in which the process sometimes becomes time-consuming. To tackle that problem, we tried to generate feedback from machine learning or deep learning. We aimed to collect the feedback from the customer via their facial expression by cutting the feedback form process. For that, we used a machine learning / deep learning algorithm called convolutional neural networks which helps to identify the 7 facial expressions such as Happy, Sad, Neutral, Disgusted, Angry, and many more. The recognized output will be stored in the database and the industry will process that data to have a useful insight from that data later on.