Imagine a world where communication flows seamlessly between different sign languages. This is the ambitious goal of a new AI-powered system designed to translate between American Sign Language (ASL) and Indian Sign Language (ISL). This groundbreaking technology has the potential to break down communication barriers and foster greater understanding within the deaf community worldwide. The system employs a sophisticated three-stage process. First, a hybrid model using a Random Forest Classifier and a Convolutional Neural Network (CNN) recognizes ASL gestures from a live camera feed and converts them into text. This approach ensures robust recognition, even with variations in individual signing styles. However, the initial text output might contain errors, much like the predictive text on our phones occasionally misinterprets us. Second, a fine-tuned Large Language Model (LLM), specifically Gemini 1.5 Flash, steps in to correct and refine the generated text. This LLM acts as a sophisticated editor, ensuring the text is grammatically sound and contextually accurate. This stage is crucial for preserving the original meaning and intent of the signed message. Finally, the corrected text is transformed into ISL gestures. A specialized algorithm maps the text to corresponding ISL signs, creating a sequence of images. Then, RIFE-Net, a powerful video processing technique, smooths and interpolates these images to produce a fluid, natural-looking ISL video at a standard 60 frames per second. This final stage ensures the translated message is presented in a way that is easily understood by ISL users. While this research focuses on ASL and ISL, the underlying principles could be adapted to other sign languages, opening doors to a future where real-time translation between any two sign languages is possible. This technology faces exciting challenges, including handling the dynamic nature of signing, incorporating facial expressions and emotions, and ensuring real-time performance. However, the potential impact on accessibility and cross-cultural communication is immense. This research signifies a significant step towards a more inclusive world, where language differences no longer pose barriers to connection and understanding.