E-Certificate Verification Using Block Chain

This universe shows mood through facial expressions. Every expression conveys emotions. AI allows us differentiate different emotions, even though everyone has a unique face expression and emotional repertoire. Deep learning builds face emotion-recognition AIs. Train a CNN on the dataset for high prediction accuracy. The goal is to recognise seven fundamental face emotions from hundreds. Happy, sad, neutral, anger, surprise, fear, and contempt are the most common expressions, followed by neutral. Deep face algorithms, machine learning, AI, TensorFlow, etc. can identify facial expressions. Our model is 70-80% correct. The easiest and most effective technique may be this.