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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45680

Designing a Deep Learning Tool for Disease Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45680

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45680

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MN

Muhammed Nashath

SK

Sayand Krishna

VS

Vanimol Sajan

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Abstract

Doc Plus is a medical help platform that utilizes AI for healthcare professionals with deep learning models and chatbot-based knowledge recall. The platform contains two Convolutional Neural Network (CNN)-based models for detecting Alzheimer’s disease and lung cancer based on medical images like MRI and CT scans for diagnosis. The platform also consists of two AI chatbots: one that delivers information related to diseases and the other that gives prescription details in the medical field. The site is developed with Streamlit and utilizes transfer learning models such as ResNet and EfficientNet for increased accuracy. Although chatbot capabilities have been implemented effectively, the disease detection models so far suffer from overfitting, restricting real-world application. The project will help medical professionals by enhancing diagnostic effectiveness and remote disease evaluation. Future research will address model generalization to improve dependability in clinical practice.

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Cite This Article

Muhammed Nashath, Sayand Krishna, Vanimol Sajan, "Designing a Deep Learning Tool for Disease Detection," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45680

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Publication Date

4/24/2025

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