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In the realm of academic and professional development, choosing the right project topic is often the first and most critical step toward success. However, the overwhelming abundance of information and the rapid pace of technological change have made it increasingly difficult for students and developers to identify meaningful, innovative, and feasible project ideas. To address this challenge, Idea Sphere: AI-Powered Project Topic Finder emerges as a smart web-based solution, developed using the Django framework, aimed at simplifying and enhancing the ideation process through artificial intelligence. Idea Sphere harnesses the power of machine learning (ML) and natural language processing (NLP) to analyze user preferences, domain interests, and current global trends in technology. By collecting user inputs such as academic level, area of interest (e.g., Web Development, Data Science, IoT, Cybersecurity, etc.), and specific keywords, the system generates customized project suggestions that are both relevant and innovative. It integrates with external APIs like Google Trends, GitHub, and arXiv to align suggestions with current industry and research developments, ensuring that the recommended ideas are timely and practical.