000			02813nam a22002417a 4500
003			ft8860
005			20251209135157.0
008			251209b ||||| |||| 00| 0 eng d
041			_aengtag
050			_aT58.7 G83 2025
082			_a.
100	1		_aCapstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
245			_aSmartsuri: A mobile-based item recycling classifier application utilizing convolutional neural network with event notification and recommendation system
264		1	_a. _b. _cc2025
300			_bCapstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
336			_2text _atext _btext
337			_2unmediated _aunmediated _bunmediated
338			_2volume _avolume _bvolume
505			_aABSTRACT: The growing ineffectiveness and inaccuracy of recycling add to the pollution of recycling streams, decreasing the ability to manage waste effectively. This solution is accompanied by insufficient advanced technological solutions, and a general minimization of waste separation and classification by the user. This study presents the development and evaluation of SMARTSURI, an artificial intelligence (AI0-enabled computer vision/image recognition system based on convolution neural network (CNN) for enabling more accurate and efficient recycling in real-time. SMARTSURI helps minimize contamination and improve recycling with its classification of recyclable waste, biodegradable waste, and residual waste. CNN-based classification, real-time notifications, and recommendation systems are defined. The core components will be implemented with Flutter, Python and Django. SMARTSURI using features to bring the public into the recycling process. A CNN-based classification system facilitates effective analysis by automatically evaluating visual data, such as images, to detect and classify patterns, objects, or features with high accuracy, thereby supporting recycling processes and improving waste management efficiency. A notification system alerts users to local recycling and donation events, and a recommendation feature offers suggestions for repurposing recyclables. Real-time notification keeps the users informed about recycling campaigns, hence ensuring their active participation in sustainability. These elements serve to bridge the gap between knowledge and action, and motivate improved waste disposal habits. The application augments the potential for users to take part in sustainability initiatives, by providing the exact information needed at the right time at a localized level. SMARTSURI could be widely deployed in the future to reduce pollution in recycling streams for a cleaner environment.
526			_aF
655			_aacademic writing
942			_2lcc _cMS
999			_c37309 _d37309