Current translation systems struggle with this integration, and our proposed solution involves using neural translation systems based on the Transformer architecture. By compiling bilingual datasets from online sources, which include Transliterated English words and their regional language equivalents, we aim to enable smooth conversions into native forms. This approach is designed to boost the digital presence and accessibility of regional languages, celebrating linguistic diversity and fostering deeper cultural connections. Our strategy emphasizes inclusive digital communication, empowering individuals to express themselves authentically in their native languages online. Moving forward, we plan to refine our neural translation systems to cover a wider range of Transliterated English expressions and regional language variations.