This chapter enquires about the trans-formative genre of artificial intelligence to explore the field of interpretation of brain signals or images. This gives a groundbreaking insights into human behavior and cognitive processes. Some popular techniques to get information about the brain like Electroencephalography (EEG), CT-Scan, functional Magnetic Resonance Imaging (fMRI) provide increasingly rich data, AI-driven methods are revolutionizing our ability to decode complex brain activity patterns. Through the application of various learning algorithms, this chapter demonstrates how AI can uncover hidden relationships between neural signals and various mental states, emotions, and behaviors. The chapter further explores how AI models are being used to identify biomarkers for neurological disorders like epilepsy, Autism Spectrum Disorder (ASD), and Alzheimer’s disease, presenting new possibilities for early diagnosis and personalized treatments. By highlighting the synergy between AI and neuroscience, this chapter outlines the potential of AI to unlock the mysteries of the brain, offering novel perspectives on how we understand the mind and paving the way for advancements in mental health care, neurodiagnostics, and personalized therapeutic strategies.