Objectives:

1. To promote education and capacity building in the field of AI by organizing training programs, workshops, seminars, conferences, certification courses, and awareness initiatives for emerging research scholars and students.
2. To disseminate knowledge and practical skills related to AI and allied technologies including Machine Learning, Deep Learning, Data Science, and related interdisciplinary domains, with the objective of enhancing academic and research competence.
3. To encourage and support research, innovation, and development in AI by providing mentorship, research guidance, collaborative platforms, and opportunities for scholarly publications, patents, and technology development.
4. To bridge the gap between academic theory and practical application of AI through hands-on training, real-world problem solving, project-based learning, and collaboration with academic institutions, research organizations, and industry.
5. To facilitate equitable access to quality educational resources in AI, including open-source tools, datasets, learning materials, and research publications, particularly for scholars from economically or socially disadvantaged backgrounds.
6. To promote ethical, responsible, and socially beneficial use of AI by creating awareness on issues related to ethics, data privacy, fairness, transparency, accountability, and the societal impact of AI technologies.
7. To establish and strengthen a collaborative ecosystem for AI education and research by fostering networking, knowledge sharing, and partnerships among students, researchers, academicians, professionals, institutions, and organizations.
8. To apply AI for social welfare and sustainable development, encouraging research and innovation aimed at solving societal challenges in areas such as healthcare, education, agriculture, environment, and public services.