AI DEFECT DETECTOR

Artificial Intelligence (AI) has revolutionized the way we generate text, making it essential to differentiate between human-generated and AI-generated content for plagiarism detection. This project leverages advanced Machine Learning techniques, Natural Language Processing (NLP), and the NLTK library to address this challenge. By applying sophisticated algorithms and datasets, AI Debug aims to create a robust tool for discerning the origin of a given text. This project, titled "AI Debug," is a novel endeavor in the realm of artificial intelligence (AI) and natural language processing (NLP). The primary aim is to create a system capable of distinguishing between human-generated text and AI-generated text, specifically ChatGPT outputs. This tool holds significant potential for addressing the growing concern of plagiarism in academic and professional contexts, as it can automatically identify text origins. This report delves into the various aspects of the project, from its inception to its proposed methodology, and presents a comprehensive view of its potential impact. Artificial Intelligence (AI) systems are becoming increasingly complex, making debugging and error analysis a challenging task for AI developers and researchers. The AI Debugger is a cutting-edge tool designed to address these challenges by providing advanced debugging capabilities tailored specifically for AI applications. This abstract introduces the key features and benefits of the AI Defect Detector.The AI Defect Detector offers a comprehensive set of tools and functionalities to aid in the identification and resolution of issues in AI models, including machine learning algorithms, neural networks, and deep learning frameworks.personal style is a form of self-expression, choosing the right colors for one’sattire is essential. This chatbot serves as a virtual fashion advisor, offering users both textual recommendations and image generation capabilities to enhance their outfit selection experience. Users can interact with the chatbot by posing questions or seeking suggestions regarding color combinations for their clothing, such as matching pants and shirts. The chatbot leverages natural language processing (NLP) to understand user queries and responds with well-informed, context-specific advice. For instance, it may recommend color combinations for formal events, casual outings, or specific themes. One of the standout features of “Outfit Overture” is its image generation functionality. Users have the option to request sample images of outfits based on the chatbot’s recommendations. This visual representation provides a valuable aid for users in envisioning their chosen color combinations. “Outfit Overture” not only simplifies the process