In today’s era, communication serves as a backbone of human interaction and plays a crucial role in various aspects of life. But the problem arises in approaching people from different linguistic communities and it also creates a language gap. Machine transliteration plays a vital role in reducing language barrier and enables effective communication between different scripts. In this paper, we have discussed various methods for English to Hindi Transliteration. We have implemented this project using Seq-2-Seq architecture with Long Short-Term Memory layers (LSTM), for encoding–decoding and to evaluate their performance-based factors such as accuracy, efficiency, and other performance factors. The proposed system is user friendly and provides the feature of incorporating with different platforms for better efficiency.