LangBlog

Designed With 😇 :

• Css
• Github
• Html
• Ai
• Pytorch
• Vscode

This platform provides an efficient, inclusive solution for content creators by automating transcription, translation, and publishing in 10 regional Indian languages. By leveraging cutting-edge AI technologies, it accelerates content creation while ensuring cultural relevance and high SEO optimization, ultimately broadening reach and enhancing engagement with diverse audiences across India.

GitHub Link 🔗

• https://github.com/aditigupta72003/SuperLevel_TeamCodieeHackathon

Deploy Link 🔗

• https://teamcodieeps2.streamlit.app/

Problem it solves 🙅‍♂️

• Content creation in multiple languages for Indian regional audiences is time-consuming and resource-intensive. This platform streamlines the entire process—from transcription to translation to SEO-ready publishing—making it faster, more inclusive, and accessible. By automating tasks that would normally require multiple tools and manual input, it enhances productivity and removes language barriers, allowing content creators to effectively engage with local audiences in their native languages.

Challenges I ran into 🙅‍♂️

• During development, one of the key challenges was ensuring the translation system was not just linguistically accurate but contextually relevant for each regional language. Machine translation systems often struggle with idiomatic expressions and culturally specific terms, which can lead to confusion or loss of meaning. To resolve this, we incorporated advanced NLP models designed specifically for regional languages and fine-tuned them with locally sourced data to ensure more accurate and meaningful translations. Additionally, optimizing the platform for SEO across different languages required dynamic routing and the creation of language-specific URLs, which presented a complex challenge in ensuring seamless user experience and discoverability.