Human-Readable Windows Log Summarizer for Individual Developers and Students

Windows system logs are an essential part of software systems, widely used for monitoring system activities, debugging errors, and analyzing system performance. However, their technical nature, complex structure, and large volume make them difficult to interpret, especially for students and novice developers. This lack of accessibility reduces the effectiveness of logs as a learning and troubleshooting tool. This research presents the conceptual design of a human-readable Windows log summarizer specifically designed for individual developers and students. The proposed system focuses on transforming raw log entries into simplified and meaningful summaries using abstraction techniques, contextual explanations, and structured feedback. The study adopts a combination of rule-based parsing and natural language generation approaches to convert technical data into understandable outputs. It also considers usability, integration with developer workflows, and educational applications. The system aims to reduce cognitive load, improve debugging efficiency, and support learning by making system logs more accessible and informative.