Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes

Authors
G. R. L. M. Tayaru1, K. Raja Sekhar2, R. Sravani1, P. Saranya1, *, R. Satya Vani1, K. Sathvika1, K. Charmy Rose1
1Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India
2Department of Artificial Intelligence, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India
*Corresponding author. Email: saranyareddy1405@gmail.com
Corresponding Author
P. Saranya
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_23How to use a DOI?
Keywords
Deep Learning; Convolutional Neural Networks (CNN); Natural Language Processing (NLP); Handwritten Notes Recognition; Voice Notes Transcription; Multilingual Support; Note-Taking Application
Abstract

An advanced 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. This application processes handwritten notes using Convolutional Neural Networks (CNN) for character and word recognition and state-of-the-art NLP models for voice note transcriptions. The content is extracted, structured, searchable, and easily shareable, increasing productivity and accessibility. The app supports multilingual transcription, contextual keyword tagging, and real-time synchronization among devices. This project attempts 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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_23How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. R. L. M. Tayaru
AU  - K. Raja Sekhar
AU  - R. Sravani
AU  - P. Saranya
AU  - R. Satya Vani
AU  - K. Sathvika
AU  - K. Charmy Rose
PY  - 2025
DA  - 2025/04/19
TI  - Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 288
EP  - 297
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_23
DO  - 10.2991/978-94-6463-700-7_23
ID  - Tayaru2025
ER  -