Derma Eye

This paper introduces Derma Eye, a cross-platform mobile application that leverages deep learning for detecting skin and eye diseases. Built with Convolutional Neural Networks (CNNs), the system utilizes models trained on specialized image datasets. These models are hosted on a Flask-based API and accessed through a Flutter-based application interface. Users can upload images, receive disease predictions with confidence scores, and view relevant medical guidance. Additionally, the app integrates generative summaries through Gemini AI. The proposed system is scalable, responsive, and designed to provide users with accessible healthcare insights.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15234700
Primary Topic
E-Learning and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Derma Eye

Zenodo (CERN European Organization for Nuclear Research)
E-Learning and Knowledge Management
article

Derma Eye

article en

Abstract

This paper introduces Derma Eye, a cross-platform mobile application that leverages deep learning for detecting skin and eye diseases. Built with Convolutional Neural Networks (CNNs), the system utilizes models trained on specialized image datasets. These models are hosted on a Flask-based API and accessed through a Flutter-based application interface. Users can upload images, receive disease predictions with confidence scores, and view relevant medical guidance. Additionally, the app integrates generative summaries through Gemini AI. The proposed system is scalable, responsive, and designed to provide users with accessible healthcare insights.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
E-Learning and Knowledge Management
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Derma Eye · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS