RUDRA

Designed With 😇 :

• Cassandra
• Css
• Flask
• Git
• Github
• JavaScript
• Nextjs
• Nodejs
• Py
• Tailwind
• TypeScript
• Vite

Anuvaad AI is a cutting-edge blog dashboard that transforms the way creators manage multilingual content. It enables seamless transcription of text and video content and offers translations in 10 regional Indian languages, including Hindi, Marathi, Tamil, and Bengali.

By combining AI-powered transcription, advanced NLP models, and SEO-optimized blog publishing, Anuvaad AI empowers creators to expand their reach and engage audiences across linguistic and cultural boundaries.

The platform’s features include:

• Real-time transcription and translation workflows.
• Language-specific URLs for SEO optimization.
• Predictive SEO tags and analytics for enhanced blog performance.

GitHub Link 🔗

• https://github.com/SagarBhoi404/supermind-final-frontend

Deploy Link 🔗

• https://supermind-final-frontend.netlify.app/login

Problem it solves 🙅‍♂️

• Creating multilingual content is a time-consuming and resource-intensive process. Existing tools either lack regional language support or fail to provide seamless transcription and translation workflows. Anuvaad AI bridges this gap by providing an all-in-one platform for creating and managing multilingual blogs efficiently, ensuring accessibility and inclusivity for diverse audiences.

Challenges I ran into 🙅‍♂️

• Accuracy of Translations: Achieving high translation accuracy for Indian regional languages was a challenge due to linguistic nuances. This was resolved by fine-tuning AI models using datasets specific to these languages and implementing BLEU and ROUGE score evaluations. Video Transcription Speed: Processing large video files for speech-to-text conversion posed delays. Optimization techniques, such as chunk-based transcription and parallel processing, significantly reduced the processing time. SEO Optimization: Ensuring language-specific URLs and metadata indexing for search engines required careful implementation of dynamic routing and structured data. This was addressed by integrating robust SSR (Server-Side Rendering) mechanisms.