The Indian Sign Language (ISL) Recognition System project demonstrates significant strides toward developing a real-time, user-friendly solution for bridging communication gaps for the deaf community in India. Through various approaches, including models like WL-ASL, MS-ASL500, and the SHUWA, alongside custom-built transformer models for INCLUDE50 and INCLUDE100 datasets, the project has explored diverse methodologies to recognize and interpret sign language effectively.

Despite the achievements in training accuracy and model development, challenges such as overfitting, hardware limitations, and the need for real-time adaptability have highlighted areas for further improvement. 

The CSLR (Continuous Sign Language Recognition) approach, now in active research, offers a promising direction for achieving seamless, fluid ISL interpretation that can manage dynamic, continuous sequences of signs in real-world applications.