Advanced Dermatology Platform: Deep Learning with VGG19 and DenseNet201, Integrated Chatbot and Community Forum
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 45, Issue 9
Abstract
The present online application employs a contemporary artificial intelligence (AI)-driven solution to transform the process of diagnosing skin disorders. This research uses DenseNet201 and VGG19, two of the most advanced DNN architectures, to build a Convolutional Neural Network (CNN). The enhanced predictive models, built with a dataset of 930 photos divided into ten groups and strengthened by data augmentation, produce remarkably accurate predictions for a range of skin conditions. The website's intelligent chatbot is a standout feature; it was built to answer questions about skin diagnoses, treatment options, and more. This chatbot is designed to help users understand their diagnostic results and find their way on the health journey. In addition, it keeps track of users' prediction histories, so they may learn a lot about their skin's health over time and make educated choices about their medical treatments. In addition, by giving people a place to talk about their struggles and get advice from others, the website fosters a supportive community. The emphasis here is on real human connections, which are great for learning from one another and helping one another out. Firebase facilitates efficient data administration for monitoring forecasts and engaging with the community, while Replit and Voice flow support the CNN model, chatbot, and forum, guaranteeing optimal performance. By integrating cutting-edge AI with a user-centric approach, this web application empowers users with the tools, insights, and support necessary for proactive skin health management.
Authors and Affiliations
S. Sarojini Devi, Bora Pavani, M. Pavan Kalyan Varma, Raja Koti. B, Krishna Rupendra Singh, G. B. N. Jyothi, Badugu Samatha
Keywords
Related Articles
- EP ID EP752620
- DOI 10.52756/ijerr.2024.v45spl.013
- Views 19
- Downloads 0
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