ChronicleGuard: Log Event Reconstructor

This project, ChronicleGuard, aims to address the often complex and time-consuming task of understanding user actions and system events within a network, especially when logs are incomplete or scattered. Drawing inspiration from the 'Online Courses' scraper, we will develop a robust log parsing engine that can ingest various log formats (e.g., SSH logs, web server logs, application logs) and extract key information like timestamps, user IDs, IP addresses, and performed actions. The 'Nightfall' inspiration comes into play thematically, focusing on piecing together a larger, often obscured, narrative from individual data points. The 'Memento' influence is crucial for the core functionality: presenting this reconstructed timeline in a non-linear, chronological-as-recalled, or event-focused manner. Users could query for specific users, timeframes, or actions, and the system would present a visual timeline of their activities, highlighting critical events and potential anomalies. This is niche because while log analysis tools exist, a dedicated, user-friendly tool focused on reconstructing granular, narrative-like user activity from fragmented sources is less common. It's low-cost as it can be built with open-source technologies (Python, SQL databases, and a web framework like Flask or Django). The high earning potential lies in offering this as a SaaS product to small to medium-sized businesses (SMBs) that may not have dedicated security analysts or robust SIEM solutions. Businesses can use it for security auditing, incident response, compliance checks, and performance monitoring. The ability to quickly reconstruct a user's digital 'story' is invaluable for troubleshooting and security investigations.