Langpostt

Designed With 😇 :

• Github
• Nextjs
• TypeScript
• Vercel

This project is about a web app which translates provided text file or video of English language to 10 different regional language and automatically deploys the blogs

GitHub Link 🔗

• https://github.com/viditagrawal56/LangPost

Deploy Link 🔗

• lang-post.vercel.app

Problem it solves 🙅‍♂️

• ✅ Time & Cost - Automated multi-language translation - Parallel processing of content - Reduced manual translation costs ✅ Quality Assurance - BLEU score calculation - Comparison between translation services - Visual analytics for quality metrics ✅ Accessibility - Support for 9+ languages - Multiple content format support - User-friendly interface ✅ Analytics - Translation quality metrics - Performance comparison - Data-driven decision making

Challenges I ran into 🙅‍♂️

• The LangPost platform addresses the challenge of multilingual content translation and quality assessment through: 1) Creation of a Next.js application with MongoDB backend for storing translations 2) Integration of multiple translation APIs (Google & Rev) for comparative analysis 3) Implementation of BLEU score calculation for quality metrics 4) Development of an analytics dashboard with Chart.js 5) Building a drag-and-drop interface for file uploads 6) Setting up authentication for user management 7) Creating API routes for handling translations and analytics 8) Implementing file processing for text and video content 9) Developing a responsive UI with Tailwind CSS 10) Adding visualization components for translation quality comparison. The solution streamlines the translation workflow while providing objective quality metrics through BLEU scores, particularly beneficial for organizations requiring content translation into multiple Indian languages. The system's architecture enables parallel processing of translations, quality comparison, and data-driven insights through analytics, making it a comprehensive solution for multilingual content management.