this is 
									My portfolio
									I have had hands-on experience in creating computer vision, NLP and AI related applications.
										
 
								
								
							I'm a fresh graduate (officially graduating in December 2022) from Department of Electronic and Telecommunication Engineering, 
University of Moratuwa, 
							Sri Lanka. 
I am an individual who likes to solve challenging problems
utilising analytical skills and engineering principles.
 
							Interested in Software Engineering, Computer Vision, NLP and Web/App Development.
I have had hands-on experience in creating computer vision, NLP and AI related applications.
										
 
								
								
							 
									An intelligent retrofittable monitoring system that is capable of tracking activity, 
									saving energy,predicting and detecting faults with its type in commercial cooolers.
 
									
 
									Web platform for reputation management in social medias powered by Aspect based sentiment 
										analysis to track the customer satisfaction 
										and attitude towards the business. 
 
 
									Conducted a research on deepfake generation and detection, then integrated a deepfake detection model
										 to a face recognition platform at zone24x7. 
 
										 
 
									A web application for classifying sentiments of customer reviews into positive, 
										negative and neutral with scores and highlighting.
 
										
 
									This is an ALPR (Automatic License Plate Recognition) framework that is improved 
										for cpu inferencing with ORT (OnnxRunTime) and capable of detecting,recognizing and blurring vehicle 
										license plates.
 
										
 
									A Desktop app for detecting highway lane violations realtime powered by OpenVino. Illegal parking,driving at wrong direction, 
										and improper overtaking can be detected.
 
										
 
									Conducted research on age estimation, trained a model and updated age estimation model 
										in Cognative Visual Analytic Platform (CVAP) at Zone24x7.
 
										
 
									A human detection, tracking and counting system built using deep learning based computer vision
										 powered by pedestron and SORT (Simple, Online, and Realtime Tracking) algorithm 
 
										
 
									A facial recognition system with a GUI which uses a live feed (web cam) 
										and recognizes the person real-time. When new users are added, system will 
										automatically train and update the model.
 
										
 
									Monitoring queues to check whether people are following the one meter 
										distance social distancing rule and if violated corresponding people will be
										addressed by their line numbers with an audio. 
 
										
 
									Hand recognition system is a biometric system which 
										uses the hand geometry and the palm print to recognize a person. Then unique 
										features from the palm print are extracted to create an embedding for 
										the palm. With that system tries to recognize the person.
 
										
 
									A desktop app for monitoring exercises of rheumatoid arthritis 
										patients using pose estimation. Given a exercising video as the input, the app 
										will zoom out on the important joints so the doctors can monitor the procedure well. 
 
										
 
									 Designing and Implementing a multi-core processor to
										multiply two matrices of any dimension.
 
										
 
									 Designing and Building a Lux Meter that can be used to measure the 
										luminocity of the environment.