<ul><li>Deepfakes have extended into audio manipulation, with advanced audio analysis techniques employed for detecting synthetic voice content using logistic regression, SVM, perceptron, and deep neural network models.</li><li>Software Defect Prediction application predicts defects by analyzing code metrics, enabling early issue resolution, thereby enhancing software quality and reducing post-release defects.</li><li>The application offers model analytics, including ROC curves, confusion matrices, and various performance metrics, aiding in selecting optimal models for improved outcomes.</li><li>Challenges in development led to insights such as diverse model selection for predictions, clear visualization of metrics, and intuitive UI design, culminating in an effective AI application for deepfake detection and defect prediction.</li></ul>

Revolutionizing AI with Urdu Deepfake Detection and Software Defect Prediction

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