This is a submission for the DEV's Worldwide Show and Tell Challenge Presented by Mux
What I Built
MindScribe is a comprehensive educational content creation platform designed to help educators, content creators, and online course instructors produce high-quality educational videos with minimal effort. The platform combines AI-powered video editing, automatic transcription, real-time captioning, and intelligent highlighting of key concepts. What makes MindScribe unique is its focus on accessibility and engagement—every video automatically gets professional captions, highlighted sections for important concepts, and interactive timestamps that viewers can click through. The platform is designed for both synchronous (live streaming) and asynchronous (pre-recorded) content creation.
Demo
- Platform Access: https://mindscribe-demo.example.com
- GitHub Repository: https://github.com/example/mindscribe
- Sample Course: "Getting Started with MindScribe"
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Test Credentials:
- Email: educator@example.com
- Password: EducatorDemo123!
- Pre-loaded sample course available
The Story Behind It
As an educator working on online courses, I grew frustrated with the time-consuming process of creating engaging educational videos. Recording, transcribing, adding captions, editing highlights—it was all manual and tedious. I realized there had to be a better way. MindScribe was born from the desire to give educators back their time so they could focus on what matters: creating meaningful content. I wanted to build a tool that democratizes video production for educators worldwide, regardless of their technical expertise or production budget.
Technical Highlights
- AI-Powered Transcription: Integrates with leading speech-to-text APIs for accurate, real-time transcription
- Automatic Captioning: Generates captions with speaker identification and timestamps
- Intelligent Concept Highlighting: Uses NLP to identify and automatically highlight key concepts
- Live Streaming Integration: Supports simultaneous live streaming and recording for hybrid education
- Tech Stack: Vue.js frontend, Python backend with Flask, PostgreSQL database, Mux for video handling
- Accessibility Features: Multi-language support, adjustable caption sizes, high-contrast modes
- Analytics Dashboard: Track viewer engagement, replay statistics, and learning analytics
Use of Mux (Additional Prize Category Participants Only)
MindScribe leverages Mux as its core video infrastructure backbone. We utilize Mux's live streaming API for real-time broadcasts, their video storage and management capabilities for on-demand content, and their advanced analytics to track viewer engagement patterns.
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