Low-latency AI tutoring platform with FastAPI and WebSockets

Low latency is the critical factor in AI-based tutoring platforms, especially when teaching programming, algorithms, or engineering. Traditional implementations with blocking HTTP requests cause delays that disrupt the pedagogical flow. To solve this, a decoupled architecture is required that leverages WebSockets for real-time bidirectional communication and an asynchronous engine like FastAPI. This combination allows transmitting code snippets, SVG diagrams, and instant feedback without waiting for complete responses. At Q2BSTUDIO we design custom applications for educational environments, integrating syntactic validation and RAG (Retrieval Augmented Generation) layers that eliminate hallucinations. We add AI for businesses with specialized AI agents, deployed on AWS and Azure cloud services for horizontal scaling. Cybersecurity is inherent: each connection is encrypted and prompts are filtered before reaching the model. Additionally, we incorporate business intelligence services with Power BI to analyze student progress. With custom software and low-latency architectures, we transform virtual tutoring into an interactive and reliable experience.