From Left: Ms. WMKS Ilmini, Ms. Malshi Senevirathne, Mr. DDA Gamini (Head/Department of Computer Science), Ms. Madhushi Welikala
National ICT Awards (NBQSA) 2019 organized by The Chartered Institute for IT, British Computer Society (BCS) 91传媒 section, was held on 11th October 2019 at Hotel Galadari. The 91传媒 was able to bag a Silver Award and two Merit awards this year and one student was nominated for Asia Pacific ICT Alliance (APICTA) Awards 2019 which will be held in Vietnam, making it the second consecutive time that an undergraduate from , , 91传媒 will be representing the University and 91传媒 at APICTA.
It was Ms. Madhushi D. Welikala who won the Silver Award at NBQSA 2019 awards ceremony under the Tertiary Technology category and has been nominated to represent 91传媒 at APICTA 2019 to be held in Vietnam. Her project titled 鈥淒iabMate鈥� was supervised by , a Senior Lecturer at the Department. 鈥淒iabMate鈥� is a portable wearable device that collects Galvanic Skin Response (GSR) readings from the user鈥檚 fingers and calculates wearer鈥檚 real-time Blood Glucose Level using Machine Learning trained with a set of carefully chosen meta data. DiabMate Mobile Application facilitates wireless communication with the wearable and also provides a user-friendly and intuitive to help users stay ahead in the battle with diabetics.
Ms. Malshi Senevirathne and Mr. Mahesh Samarasinghe won a merit award at NBQSA 2019 awards ceremony under the Tertiary Technology category. Their project titled 鈥淏irdGuide鈥� was supervised by , a Senior Lecturer at the Department. 鈥淏irdGuide鈥� is a mobile application to recognize and identify different kinds of bird species in 91传媒 using the images which are captured by the user and provide a basic description of the species to the user.
Ms. WMKS Ilmini won a merit award at NBQSA 2019 awards ceremony under the Tertiary Postgraduate category. Her project titled 鈥淧ersonality Detector鈥� was supervised by , a Senior Lecturer at the Department. 鈥淧ersonality Detector鈥� is a web-based application that is capable to assess the personality from the outer appearance of a person. Personality is defined using 鈥淏ig-Five鈥� personality schema, with five factors namely OCEAN (openness, conscientiousness, extraversion, agreeableness, and neuroticism). To assess the personality, the application used a convolutional neural network-based model with transfer learning. APICTA 2019 is scheduled to be held in Vietnam from 18th to 23rd November 2019, and we would like to wish our heartiest well wishes for Ms. Madhushi Welikala and her team to succeed and bring pride to the University and to 91传媒.
On 22nd October 2019, the winners of NBQSA were featured on Knowledge First Programme telecast on 91传媒 Rupavahini. Ms. Madhushi D. Welikala , Ms. Malshi Senevirathne, Ms. WMKS Ilmini attended the program with Mr. M. D. R. Perera, a Senior Lecturer at the Department of Computer Science.
