Alpha-Bit: An Android App for Enhancing Pattern Recognition using CNN and Sequential Deep Learning
- Title
- Alpha-Bit: An Android App for Enhancing Pattern Recognition using CNN and Sequential Deep Learning
- Creator
- Ramasamy G.; Bagula A.; Rajan A.P.; Rengasamy P.
- Description
- This research paper introduces Alpha-Bit, an Android application pioneering Optical Character Recognition (OCR) through cutting-edge deep learning models, including Convolutional Neural Networks (CNNs) and Sequential networks. With a core focus on enhancing educational accessibility and quality, Alpha-Bit specifically targets foundational elements of the English language - alphabets and numbers. Beyond conventional OCR applications, Alpha-Bit distinguishes itself by offering guided instruction and individual progress reports, providing a nuanced and tailored educational experience. Significantly, this work extends beyond technological innovation; Alpha-Bit's potential impact encompasses addressing educational inequalities, contributing to sustainability goals, and advancing the achievement of Sustainable Development Goal 4 (SDG 4). By democratizing education through innovative OCR technologies, Alpha-Bit emerges as a transformative force with the capacity to revolutionize learning experiences, making quality education universally accessible and empowering learners across diverse socio-economic backgrounds. 2024 ITU.
- Source
- 2024 ITU Kaleidoscope: Innovation and Digital Transformation for a Sustainable World, ITU K 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- artificial intelligence in education; convolutional neural networks (CNNs); early childhood education; literacy; numeracy; Optical character recognition (OCR); SDG 4; sequential networks
- Coverage
- Ramasamy G., Christ University, Bangalore, India; Bagula A., University of the Western Cape, Cape Town, South Africa; Rajan A.P., Christ University, Bangalore, India; Rengasamy P., Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-926139091-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Ramasamy G.; Bagula A.; Rajan A.P.; Rengasamy P., “Alpha-Bit: An Android App for Enhancing Pattern Recognition using CNN and Sequential Deep Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/18985.