AI-Based Context-Aware Calendar System for Smart Scheduling and Productivity Insights

Abstract

This project aims to transform traditional scheduling methods in professional environments through automation, data integration, and context awareness. It tackles key challenges such as fragmented workflows, manual context gathering, and the lack of actionable productivity insights. By collecting and analyzing real-time data from emails, files, and tasks, the system provides personalized scheduling guidance and data-driven support for knowledge workers. It enhances productivity and streamlines communication among team members via an AI-driven "Model Context Protocol" (MCP), offering insights aligned with modern work standards and meeting administrative needs. The system features a responsive web interface built on Next.js and utilizes a modern tech stack including Firebase and Genkit. This paper presents the project's background, objectives, methodology, technology stack, and its strong potential to improve focus and organizational alignment in today's digital landscape.