Security Point object detection
Description
This project aimed to develop a mobile app that uses deep learning techniques, specifically Convolutional Neural Networks (CNNs), to identify objects in images captured by the user's smartphone camera.
Features
- pre-trained CNN models like MobileNetV2
 - fine-tuned them on a custom dataset
 - optimized the model for real-time performance on mobile devices using TensorFlow Lite
 
Technologies
						
						
						
						
						
						
					Methodologies
Lessons Learned
- Proficiency in deep learning
 - real-time image processing
 - model optimization