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@article{192335,
        author = {Ms. Ami belani and Dr. Nirali Dave},
        title = {A Review on Artificial Intelligence based Astrology for Traditional Predictive Systems in Digital Edge},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1065-1070},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192335},
        abstract = {One of the oldest prediction systems, astrology has been essential to human spirituality and society for ages. Through digital platforms, social media, and online services, astrology has reappeared in modern society, allowing for more accessibility and individualized involvement. By automating intricate calculations, processing massive datasets, and producing data-driven predictions about personality traits, career guidance, and life events, the combination of artificial intelligence (AI) and machine learning techniques has further revolutionized traditional astrological practices. When compared to traditional rule-based techniques, AI-based astrological models improve accuracy, scalability, and analytical efficiency. However, using AI in predictive spiritual systems raises ethical issues that need to be carefully considered, such as bias, transparency, and responsible use. To portray digital astrology as a cutting-edge, scalable, and data-driven forecasting framework in line with current technological developments, this study examines the convergence of conventional astrology, digital technology, and artificial intelligence. the combined interpretation of birth charts, divisional charts, planetary periods, and transits, can be carried out effectively and reliably by integrating AI into conventional astrological techniques. This combination maintains the methodological and philosophical integrity of traditional astrology while improving predicted accuracy, personalization, and accessibility. In order to provide a data-supported, transparent, and scalable predictive framework for future astrological study, the suggested method shows how contemporary artificial intelligence might serve as an analytical aid to traditional astrological knowledge.},
        keywords = {Astrology, Artificial Intelligence, Machine Learning, Predictive Systems, Data Analytics, Expert Systems.},
        month = {February},
        }