Deepansh Khanna@deepansh_khanna393

Log Sentinel is a production-oriented AI system designed to help engineering and operations teams understand system failures faster and more reliably. The platform ingests raw log files, detects anomalies using deterministic feature extraction and grouping logic, and aggregates them into well-defined incidents with clear time boundaries and contextual metadata. Each incident can be explained using a locally hosted large language model, ensuring data privacy and full control over inference behavior. To maintain safety and reliability, all AI-generated outputs are strictly schema-validated, bounded in scope, and backed by deterministic fallbacks when model confidence or compatibility is limited. The system supports optional LoRA adapters for domain-specific fine-tuning while preserving reversibility and architectural isolation. Log Sentinel includes a clean frontend dashboard connected to real backend APIs, comprehensive documentation, and a deployment-ready backend. The project prioritizes clean architecture, operational robustness, and honest documentation of limitations, making it suitable for real-world use, evaluation, and extension.

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Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.