Stuttering is a global speech disorder that causes communication problems and emotional distress. In this paper, we introduce “Talkify”, a cutting-edge deep learning tool that detects and analyzes stuttering patterns. Talkify uses a convolutional neural network (CNN) model trained on various stuttered speech samples to identify stuttering instances. Talkify uses spectrogram analysis to distinguish between stuttering events and fluent speech segments. The CNN model extracts relevant features from the spectrogram images to classify stuttering patterns. In this paper, we look at how Talkify can be used in speech therapy sessions and personal speech assessment tools as well as telehealth platforms. With Talkify, people with stuttering conditions can track their speech and track their progress in real time. Talkify provides a dependable, objective tool for stuttering pattern detection and analysis. Developing and implementing Talkify holds promise for improving communication support and quality of life for people with stuttering.