Price: 0
Number of applications: 0
16.12.25 (inclusive)
By agreement
Finished product
ICT tasks
Media sphere
Intelligent control systems
Software/ IS,
Mobile app
Video accounts for more than 70-90% of traffic in educational applications. Problems experienced by users: • large file sizes → traffic consumption • long download time with slow internet connection • inability to watch offline • overheating and brakes during normal decoding • Limited space on school children's devices Baimly actively uses video content, which means that it needs its own compressor/transcoder, independent of third—party CDNs, to make the application faster and more accessible to all users.
After the completion of the project, Baimly will receive: ✔ Own video compression and transcoding system ✔ video size reduction by 40-70% without noticeable loss of quality ✔ Stable video viewing on weak phones ✔ Offline mode with light files ✔ Improved user retention ✔ reduced load on servers and CDN traffic ✔ Flexible architecture for scaling
Nurlan Rakhimzhanov
Purpose and description of task (project)
Create a high-performance tool that will automatically convert, optimize and compress Baimly video tutorials for different devices (Android/iOS), ensuring minimal file weight without loss of quality and offline mode support. The project requires: A. Develop a mobile video compressor (in-app) • Video compression in multiple presets (360p/480p/720p) • Support for H.264 / H.265/VP9 (optional) • Bitrate reduction • Automatic preview generation • Multi-stage optimization for weak devices B. Implement the transcoder on the server (Node.js / Go / Java + FFmpeg) • Automatic video processing when uploaded by the teacher • Generation of multiple quality versions • Generation of offline-friendly formats • Adaptive bitrate streaming (HLS) support C. Integration with the mobile application (Ionic/Capacitor/Native plugins) • Quality selection before viewing • Automatic quality selection when the internet is slow • download optimized versions • caching and management of local files D. Storage optimization algorithms • Video deduplication • auto-clean old downloaded files • Predictive download of popular lessons E. Documentation • API specification • instructions for developers • compressor operation diagram
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