Blog dashboard with Text and Video Input_The Conquerors

Designed With 😇 :

• Mongodb
• Mysql
• Py

This project enables seamless multilingual blog creation by integrating AI-powered transcription, translation, and publishing workflows into a user-friendly dashboard. It allows content creators to input text or video content and publish blogs in 10 regional Indian languages, addressing the need for localized digital content.

Practical Applications

• Content Localization: Enables creators to reach diverse audiences by publishing blogs in Hindi, Marathi, Gujarati, Tamil, Kannada, Telugu, Bengali, Malayalam, Punjabi, and Odia.
• Accessibility: Makes multimedia content more accessible by converting videos into text and translating it into regional languages.
• Efficient Workflow: Automates time-consuming tasks like transcription, translation, and SEO optimization, allowing users to focus on content creation.
• Enhanced Reach: Facilitates SEO-optimized multilingual publishing, increasing visibility and engagement across regions.
• Inclusivity: Bridges language barriers and promotes regional content consumption online.

GitHub Link 🔗

• https://github.com/Ayush-R-athi/Conquerors_task2

Deploy Link 🔗

• https://github.com/Ayush-R-athi/Conquerors_task2

Problem it solves 🙅‍♂️

• The dashboard solves the problem of content localization for Indian creators and businesses by providing a streamlined solution for: Transcribing Video Content: Automatically converting speech into English text to make video-based content accessible. Multilingual Translation: Translating blogs into 10 regional languages with high accuracy, making them more relatable to local audiences. SEO Optimization: Creating language-specific URLs and metadata, improving discoverability in regional search queries. Efficiency: Reducing manual effort and processing time for transcription, translation, and blog publishing, saving creators time and resources. This project ensures that content creators, educators, and businesses can scale their digital presence without worrying about language barriers or technical challenges.

Challenges I ran into 🙅‍♂️

• Challenge: Speech-to-Text Accuracy for Indian Accents Problem: Achieving accurate transcription for videos with strong regional accents or noisy audio. Resolution: Used pre-trained models (e.g., Google Speech-to-Text) fine-tuned with regional datasets. Applied noise reduction techniques to enhance audio clarity before transcription. Challenge: Translation Quality Problem: Ensuring high translation accuracy for idiomatic expressions and regional nuances. Resolution: Evaluated multiple NLP models (AWS Translate, OpenAI, etc.) and selected the one with the highest BLEU and ROUGE scores. Incorporated a post-translation review feature for manual corrections. Challenge: Real-Time Performance Problem: Processing transcription and translation within the 10-second benchmark for each language. Resolution: Implemented asynchronous processing using scalable cloud infrastructure, optimizing model inference times and load balancing across tasks. Challenge: SEO and Dynamic Routing Problem: Dynamically generating language-specific URLs with proper SEO indexing. Resolution: Leveraged server-side rendering (SSR) and dynamic routing to ensure fast page loads and proper metadata tagging for search engines. These challenges were overcome through a combination of advanced technologies, iterative testing, and optimization techniques, ensuring a robust and scalable solution.