Durgesh Kumar

Designed and developed an automated product-counting prototype using Arduino for industrial-scale applications. Integrated IoT sensors and communication modules for real-time remote monitoring and threshold-based alerts. Optimized firmware for low power consumption and reliable continuous operation, covering circuit design, firmware implementation, testing, and deployment.

Built and trained a Convolutional Neural Network model for image classification. Published a peer-reviewed research paper on the methodology, results, and applications. Performed data preprocessing, augmentation, and model evaluation using confusion matrix and accuracy metrics.

Developed a military surveillance robot for real-time monitoring and reconnaissance. Integrated IR sensors for line-following navigation, ultrasonic sensors for obstacle detection and avoidance, and an ESP32 camera module for wireless video streaming and sensor-data transmission. Designed a modular, low-power, portable system for defense and border security applications.