Project/Intern Aspirant

Welcome to the Opening Page for Prospective Students Interested to carry out final year projects/internships in the domain of AI, Data Mining and Programming Languages.

Computer Science is an extensive field, and my research focuses on AI, particularly ontologies; Graph Neural Networks; Data Mining; and Programming Languages, with an emphasis on real-world social issues and frameworks. This page assumes you share an interest in these exciting areas.


Computer Science is an extensive field, and my research focuses on AI, particularly ontologies; Graph Neural Networks; Data Mining; and Programming Languages, with an emphasis on real-world social issues and frameworks. This page assumes you share an interest in these exciting areas.


What are the Requirements and Expectations?

To work in the domains of Artificial Intelligence, Data Mining, and Programming Languages, it is imperative to understand the specific requirements and expectations associated with these fields. Proficiency in programming is fundamental, as a robust foundation in coding is essential for addressing the challenges that arise within these disciplines. Additionally, a comprehensive understanding of the theoretical frameworks underpinning AI, Data Mining, and Programming Languages is crucial, along with familiarity with the lifecycle of software systems, statistics and mathematics.

A strong academic background is highly desirable, particularly for those who have excelled in relevant coursework such as Artificial Intelligence, Data Mining and Datawarehousing, Statistics, Linear algebra/mathematics, DSA, Strong and Conceptual understanding with the capability of programming in python and other high level languages. Practical experience with essential tools and technologies, including Unix command-line interfaces, LaTeX, Makefiles, and shell scripts, is also expected and will greatly enhance your capabilities in these areas.

Moreover, beyond technical competencies, we place significant value on personal attributes such as sincerity in one’s work, honesty with oneself and one’s supervisior, and integrity towards both the institution and society at large. An eagerness to learn, coupled with effective communication and documentation skills in English, will be critical for your professional development and success in these evolving fields.


What You’ll Experience?

You can look forward to regular discussions (one to one /group), and a collaborative atmosphere where queries are welcomed and friendly support is readily available. This environment fosters technical excitement and encourages teamwork, enhancing your learning and growth.