An Efficient Student Relationship Automation Using Multimodal Temporal Convolution Networks and Ranked Resolving Computations
S. Muruganandam, C. Jeevitha, S. Jaya Krishna Raja · 2024
Organizational process optimization is critical to meet the challenges of today, especially in educational institution environments, where information flow is very rapid, and the actors involved are different in their decision-making approach. Use of various communication mediums like phone calls or emails is highly diversified which may lead to missing important notifications from both the students and the placement cell. Most of the currently used real-time platforms are either third- party specific or don’t provide an exemplary performance. Most of the existing solutions make use of only chat-based workflow that doesn’t involve any filtering capabilities. Thus, we develop an extensive novel approach to increase the productivity of an organization, to consolidate the entire process into a single thread using the Ranked resolver approach and deep learning techniques.