“Sanketh Bhasha” is a groundbreaking web-based platform designed to bridge the communication gap between the deaf and hearing communities by translating Indian Sign Language (ISL) into English and Telugu. Through STGNN technology the platform analyzes hand and body movement complexities in video inputs. Spatio-temporal graphs show body movements while displaying the spatial arrangement of body parts along with gestural temporal sequences. The STGNNs extract information from these graphs to detect sophisticated gesture series therefore delivering precise instant interpretation. Its easy-to-use interface supports various devices allowing accessibility especially in educational and work settings and public service centers which enhances social inclusion across the deaf community. This proposed real-time sign language processing framework (SLPF) facilitates fluid communication between languages while closing cultural divisions so it helps empower people and creating equal opportunity. This innovation based on deep learning technology establishes new benchmarks for inclusive services in India which provide improved societal access across the nation. The proposed technology outperforms the existing state of the art with better accuracy.