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D
LatencyReal-time
Accuracy98%
Overview
CNN-based eye-state detection model for driver fatigue alerts implementing real-time video processing with automated sound warnings.
The Problem
[Placeholder: Describe the core problem this project solves. For example, manual processing latency or lack of centralized data.]
The Solution
[Placeholder: Detailed technical solution approach. e.g. Used Meilisearch for sub-50ms ranking, implemented diff-based logging algorithm.]
Architecture & Technologies
- Frontend: Next.js with Tailwind for responsive UI
- Backend: Node.js / Python API services
- Database: PostgreSQL for relational data, MongoDB for logs
- Search: BM25 Algorithm via Meilisearch