CHIRAG KUMAR N

Experienced network security engineer with expertise in designing and implementing secure network solutions. Proficient in threat analysis, firewall management, and incident response to effectively protect against cyber threats. Demonstrated ability to ensure compliance with industry standards and collaborate with cross-functional teams to optimize security measures and enhance system performance.

Solar Powered Floating Waste Collector for Small Water-Bodies Using Deep-Learning -Capstone Project.

• Integrated solar panels to harness renewable energy, ensuring continuous and environmentally friendly operation.
• Implemented MobileNet-SSD model for object detection, enabling precise identification of floating waste such as plastic bottles, cans, and other debris.
• TensorFlow and OpenCV frameworks for real-time image processing and object classification.
• Achieved automation using Raspberry Pi as the central processing unit, running Python-based algorithms for waste detection, navigation, and control.
• Equipped with motors and sensors for independent movement, allowing the collector to navigate and avoid obstacles efficiently in water.

Hand Gesture Recognition Using Deep Learning in MATLAB.

• Implemented using pre-trained convolution neural network tiny-yolov2-coco gesture recognition.
• Trained a diverse dataset of hand gesture images to ensure high accuracy and adaptability.
• Automation completely driven by MATLAB code effectively utilizing the libraries to ensure smooth operation.