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🖥️ Comparing various hardware configurations needed for different data sizes, from personal laptops to mainframes.

The project offers a user-friendly app to combat driver fatigue. It utilizes a camera sensor to detect real-time drowsiness by analyzing eye aspect ratios, providing timely alerts. Users can register, personalize their experience, and receive customized detection. The intuitive interface includes a warnings page for tracking drowsiness patterns.

This project aims to develop an efficient and cost-effective attendance system leveraging GPS and Geo-Fence methods. Traditional paper-based attendance systems are prone to loss and time wastage, while existing digital solutions often require expensive hardware like biometric devices or RFID readers.