Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes
Year: 2025
Type: article
Abstract: An advance system named a ‘Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes’ has been made to change the face of note taking by soft connecting computer vision and natural language processing technologies. Using Convolutional Neural Networks (CNN) for character and word recognition, and using state of the art NLP models for voice note transcriptions, this application processes handwritten notes. The content is extracted, structured, searchable and easily shareable which greatly increases productivity and accessibility. Multilingual transcription, contextual keyword tagging, and real time synchronization among devices are supported by the app. This project is an attempt to bring simplicity to note taking, facilitate data retrieval, and enable good information management by combining deep learning algorithms with an easy to use interface.
Authors: G.R.L.M.Tayaru, Yasaswi Venkata Naga Sravani Ravuri, Saranya Padala, Satya Vani Reguri, Surya Venkata Anjana Sathvika Kanamarlapudi, Charmy Rose Kommini
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893093524
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