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View All on GitHubAI Summary: Implement real-time student matching based on subject and preferences, similar to Omegle, and integrate real-time video and screen sharing capabilities into the Find and Colearn platform. This includes designing matching algorithms, handling user connections, and integrating a suitable video/screen sharing library.
AI Summary: The task involves integrating AI-powered video generation into the Find and Colearn platform, similar to Opennote. This requires utilizing LLM APIs (Groq and OpenAI) for text-to-video generation. The estimated cost is $20-25 for initial API access, with potential for further expenses. The implementation will likely involve integrating the chosen APIs with the existing platform's functionality.
AI Summary: The task is to research and design a locally hosted, AI-powered coding environment for integration into the 'Find and Colearn' collaborative learning platform. This involves studying existing examples of web-based IDEs and determining the feasibility and implementation details of adding such a feature, considering aspects like Node.js, WebContainers, and AI integration.