3 publications
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Revolutionising Marketing: Leveraging Blockchain and AI for Impactful ManagementBy Sadat Karim, Shilpi saxena, Duja Alka Singh, Pankaj Deshmukh, Aditya Bibhishan Lokare, Omsingh Gopalsingh Gour, Arif Mohammad Sattar, Mritunjay Kr. Ranjan
Abstract: In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 26–33 Read article →
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Accelerating Cross-platform Development with Flutter FrameworkBy Arif Md. Sattar, Preetam Soni, Mritunjay Kumar Ranjan, Amar Kumar, Chandrahas Sahu, Shilpi saxena, Prafulla Chaudhari
Abstract: The need for businesses to spread the word about their wares to a larger audience has led to the rise in popularity of cross-platform mobile application development in recent years. Google created the open-source Flutter framework for creating mobile apps. It has rapidly replaced other options as the method of choice for developing high-quality, cross-platform software. Flutter's cross-platform compatibility across macOS, Linux, and Windows is only one of its many …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article →
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Python: Empowering Data Science Applications and ResearchBy Mritunjay Ranjan, Krishna Barot, Vaishnavi Khairnar, Vaishnavi Rawal, Anujaa Pimpalgaonkar, Shilpi saxena, Arif Md. Sattar
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article →