Versaface

Tech Stack: ESP32-CAM, Arduino Uno, OpenCV, Face Net, Spring Boot, PostgreSQL, pandas, NumPy, Flask. (team lead)

• Designed and implemented a versatile face recognition security system for access control and monitoring across educational institutions, factories, and smart home environments.

• Developed a robust ML-based face recognition pipeline using FaceNet, achieving reliable performance under varying lighting conditions and real-world constraints.

• Engineered the system to run on low-cost, non-specialized hardware, significantly reducing deployment and operational costs.

• Built a scalable backend architecture using Spring Boot and PostgreSQL to manage user data, access logs, and system events.

• Integrated IoT components (ESP32-CAM, Arduino) for real-time image capture and device-level interaction