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This project aims to develop a web-based system powered by Generative AI to detect and evaluate phishing attempts across multiple communication channels. Traditional detection methods often rely on static rules and signature-based strategies, which are ineffective against evolving threats. By leveraging deep learning and Natural Language Processing (NLP), the system analyzes metadata, language patterns, and contextual clues to identify phishing trends and subtle anomalies in text, audio, and metadata. The platform delivers real-time detection, adaptive learning, and detailed analysis reports with actionable recommendations. Its interactive interface promotes user awareness and proactive threat prevention, significantly strengthening overall cybersecurity resilience.