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Nowadays, human sentiment analysis is one of the biggest challenges for computing technology researchers. Intelligent methods are used to capture human facial expressions then these expressions are analyzed by means of emotions, feelings, thinking, and behavior. Actually, it relates to human nature that can be observed and analyzed by person to person in a real-world environment. In this paper, we have proposed human sentiments analyses associate with social networking apps. These social networking apps must be built smarter so that they could interact with human sentiments. One of the widely used social networking web apps is Facebook, people used to connect, share their achievements, feelings, thinking, point of views, observations, and most probably emotions, through upload status, pictures, videos, and many other ways. We can achieve the goal by collaborating both fields such as human psychology and cognitive, possible to implement while connecting the camera with deep learning computing technology. Detecting and recognizing the real-time face image, analyzing facial expressions, and recommend activities according to the experimental outcomes of the analysis. The purpose is to generate an intelligent bridge between humans and computers which interact in a smart manner.