Abstract
The proposed "Educational Resource Material Translation System" represents a significant leap in bridging language barriers, particularly for individuals who lack proficiency in English. By leveraging advanced technologies such as Python, Flask, Recurrent Neural Network (RNN) and Large Language Models (LLM), the system offers a robust solution for translating educational content from English to prominent Indian regional languages like Kannada, Telugu and Hindi. Its user- friendly web interface, developed with Flask, ensures a seamless and intuitive translation experience for users of varying technical backgrounds. Beyond mere language translation, this project facilitates cross- cultural communication and enhances accessibility to educational resources, thereby empowering individuals and businesses alike. The utilization of Machine Learning further underscores the system's adaptability and potential for delivering precise and efficient translations. In essence, the "Language Translator" not only serves as a valuable tool for linguistic inclusivity but also fosters knowledge dissemination and cultural exchange on a broader scale.
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