An AI-agent orchestrated real-time platform for peer-to-peer knowledge sharing

Traditional discussion forums are often plagued with delays in response times and lack of personalization and this makes problem solving in real time for learners and practitioners challenging. This paper presents an A.I orchestrated platform for efficient knowledge sharing between students and professionals by means of peer-to-peer knowledge sharing. The system uses the use of specialized agents to match users based on skill, experience, performance history and availability of individual user so that every problem goes to a suitable collaborator. Users can submit their issues related to coding, designing, or development of the project by using the help of technology-specific tags like Java, React, Machine Learning, etc. Users are connected with other users for live collaboration sessions. The platform is an integrated workspace with shared code editing, screen sharing, whiteboard tools and voice communication available. An AI assistant is further helping in session summarization, intelligent scheduling and skill refinement through feedback that is helping in continuously updating the profiles of users and accuracy of matching This orchestrated approach provides an adaptive environment that causes problem solving to be accelerated, skills to be developed and community driven knowledge exchange to be continuous.