Pemmaka Jagadeshwar Reddy

• The attempt is to determine the future value of the stock market is known as a stock market prediction.
• The algorithm will be a great asset for brokers and investors for investing money in the stock market since it
  is trained on a huge collection of historical data and has been chosen after being tested on a sample data.
• The project demonstrates the machine learning model to predict the stock value with more accuracy as compared to previously implemented machine learning models.

The project objectives are:

• Study of Human Emotion detection.
• Human Emotion detection is the need of the hour so that modern artificial intelligent systems can emulate
  and gauge reactions from face.
• This can be helpful to make informed decisions be it regarding identification of intent, promotion offers or
  security related threats.
• A LeNet architecture based six layer convolution neural network is implemented to classify facial human
  emotions