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@article{202931,
        author = {Ms. Yashara Irshad Nadaf and Ms. Mrunal Mangesh Pawar and Ms. Divyanka Deepak Kadam and Ms. Gayatri Deepak Kadam},
        title = {Zudo AI An AI-Based Multiplayer Word Association Game Inspired by the Traditional Maharashtrian Game Zunzumunju},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {9575-9580},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202931},
        abstract = {Zudo-AI is an intelligent, turn-based multiplayer word association game inspired by the traditional Maharashtrian game "Zunzumunju." This project transforms a culturally rooted activity into a digital platform using a single shared dashboard for sequential gameplay. The system employs Natural Language Processing (NLP) and Machine Learning to automatically evaluate the semantic relevance of player responses against prompts, moving beyond simple keyword matching. By calculating scores based on both semantic correctness and response speed, Zudo-AI provides an objective and competitive environment for vocabulary enhancement and cognitive skill development. The resulting prototype demonstrates a practical integration of Ms. Yashara Irshad Nadaf traditional gameplay with modern AI-driven evaluation techniques.},
        keywords = {Artificial intelligence, machine learning, multiplayer gaming, natural language processing, semantic analysis, word association},
        month = {May},
        }