• Mohammed. Juneduddin
• Ansari Awais Sarosh
• Shaikh Sohail Kaleem
• Wagh Gaurav Bharat
• Lohar Kaushal Jayant

In our increasingly globalized world, language serves as a bridge for human interaction but also poses significant obstacles. The diversity of global languages, particularly in regions like India, challenges digital literacy due to uneven access. This research introduces an innovative approach to foster digital inclusion, aligning with the "Digital India" initiative. Our primary goal is to leverage Machine Learning for advanced Language Translation and Understanding Models. Translation, as the process of encoding and decoding information, becomes particularly challenging for less explored language pairs such as Marathi and English or Hindi and English. While achieving perfect translation remains elusive, Machine Translation aims to provide comprehensible interpretations. Our focus lies in developing Machine Translation systems tailored for low-resource language pairs, specifically the English-Marathi language pair, in both translation directions. In the initial phase, we utilize provided parallel training data within specific constraints. In the subsequent phase, we expand our horizons by incorporating parallel corpora from various sources to address English-Marathi and English-Hindi translations, maximizing our Machine Translation capabilities. Sitting at the intersection of Machine Translation and Natural Language Processing, this research offers a transformative path to bridge linguistic divides, foster digital inclusion, and create a brighter future for India's diverse linguistic landscape.

Machine Learning, Machine Translation, Natural Language Processing (NLP), HTML, Tailwind CSS, React.Js, Python, Flask, Jinja2, Azure Translator & Speech API, Azure Cognitive Services, NLTK (Natural Language Toolkit) , Microsoft Azure, Prisma, TensorFlow.

"Development of a Language Translation & Language Understanding Model Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.941-952, June-2018, Available :http://www.jetir.org/papers/JETIR1806940.pdf

"Development of a Language Translation & Language Understanding Model Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp941-952, June-2018, Available at : http://www.jetir.org/papers/JETIR1806940.pdf