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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | MNIST digit recognition using streamlit |
| Authors Name: | Vaishnavi Reddy , Nandini Malipatil , Nandini Petli , Dr Shilpa M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204345
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| Published Paper Id: | IJRTI2505330 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | The project presents a web-based application for handwritten digit recognition using the MNIST dataset, developed with Streamlit, an open-source Python framework for building interactive data science and machine learning applications. The system leverages a Convolutional Neural Network (CNN) trained on the MNIST data set to accurately classify handwritten digits (0–9). The primary goal is to provide an intuitive and user-friendly interface where users can draw digits or upload images for real-time prediction. Streamlit's simplicity enables rapid development and deployment of the machine learning model, making it accessible for educational and demonstration purposes. This project effectively combines deep learning and interactive UI design to showcase how AI models can be integrated into modern web applications with minimal effort. The system recognises the digits from some samples like cheque, marks card, postal card and returns into sound also. Based on Zip/PIN it displays the location map. |
| Keywords: | Convolutional Neural Network (CNN), MNIST, Streamlit, digit, handwritten |
| Cite Article: | "MNIST digit recognition using streamlit", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.d222-d226, June-2025, Available :http://www.ijrti.org/papers/IJRTI2505330.pdf |
| Downloads: | 000472 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505330
Registration ID:204345
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: d222-d226 Country: Kalaburagi, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505330 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505330 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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