The field of brain-computer interaction (BCI) is concerned with creating technology that enables direct brain-to-external device connection. Invasive and non-invasive BCI are the two different forms. In BCI, electroencephalography (EEG) is essential. EEG is a non-invasive method that involves applying electrodes to the scalp in order to capture electrical activity in the brain. To decipher the user’s intended motions, activities, or thoughts, the EEG data is utilized. Emotions are important for human interaction, communication, and overall wellbeing. There are many paralyzed people throughout the world who are unable to express their emotions or meet their necessities. Hence, it is difficult to understand them and leads to feeling of isolation. But it is possible to detect the emotions using BCI. Emotions are reflected in the electrical brain activity and can be analyse using EEG signals. The EEG signals then decodes to detect the respective emotion of a person. Mainly three steps are included in the decoding process. First the signals are pre-processed to remove noise and data is encoded and second the relevant features are extracted using spectral power method, third classification of emotions using Bi directional Long Short-term Memory (BiLSTM).