Dr B Prathima, Faculty, Department of Commerce & Management, organised a two-day student seminar on the 3rd and 4th of April 2026 as part of the course Applications of Artificial Intelligence for the I BBA (Honours) batch. The event provided a structured platform for students to research, prepare, and present fundamental concepts in AI — particularly those related to data quality, preparation, and pipeline management. Under the mentorship of Dr. B. Prathima, seven students delivered individual presentations spanning a coherent narrative: from understanding raw data and its pitfalls, through systematic cleaning and annotation, to the construction of a fully operational AI data pipeline.
The seminar not only strengthened theoretical knowledge but also cultivated the students' confidence in public speaking, research methodology, and structured academic communication
Organizer(s):
Dr B. Prathima, Faculty, Dept of Commerce & Management
Outcome:
Upon completion of this seminar, students demonstrated proficiency in the following competencies:
• Understanding the lifecycle of data in AI systems and the critical importance of data quality.
• Applying systematic data cleaning methodologies to real-world datasets.
• Explaining annotation approaches for supervised learning across multiple data modalities.
• Designing appropriate data splitting strategies for different machine learning scenarios.
• Articulating the organisational and societal risks associated with dirty data in AI applications.
• Conceptualising and describing an end-to-end AI data pipeline from ingestion to deployment.
• Communicating complex technical topics clearly and confidently to a peer audience.
Feedback:
Students expressed that the seminar activity was highly informative, engaging, and beneficial in improving their understanding of AI data preparation concepts such as data cleaning, annotation, data splitting, and AI pipelines. They appreciated the opportunity to independently research technical topics and present them before their peers, which helped enhance their confidence, communication, presentation, and analytical skills. Students also stated that the interactive Q&A sessions encouraged collaborative learning and deeper understanding of real-world AI applications. Overall, the activity was considered an effective platform for experiential learning and academic skill development.
Field Visit and Plantation Activity at Pongamia Pinnata Clonal Test Site (As part of Karthika Vanasamaradhana 2025) Regional Forest Research Centre, Rajahmundry
