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100			_aRashmi Rameshrao Shrirao
245			_aAI-Driven Drug Pill Recognition System: A CNN-Based Android Application for Visually Impaired and Senior Citizens
300			_app24-33
520			_aAs individuals age, challenges such as declining vision and memory can increase the risk of medication errors, particularly among the elderly and visually impaired. To address this issue, this research presents a deep learning-based Android application for accurate and accessible drug pill recognition. The system leverages a contrast-enhanced Convolutional Neural Network (CNN) trained on a diverse pill image dataset, achieving a test accuracy of 98%. Integrated with a REST API, the model enables real-time image classification via a smartphone camera. The application further enhances usability through voice-assisted feedback and visual pill details, promoting autonomy and medication adherence. This AI-driven solution bridges the gap between healthcare and technology, offering a practical tool to reduce medication errors and improve the quality of life for users with visual and cognitive impairments.
654			_aPill Recognition _aDeep Learning _aElderly Healthcare _aConvolutional Neural Network (CNN) _a Assistive Technology.
700			_aShubhangi Mahendra Handore
773	0		_080302 _9113837 _di-manager's Publications _ti-manger's Journal on Mobile Applications & Technologies
942			_cJA
999			_c132811 _d132811