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MACHINE-LEARNING Project

Skin Disease Detection Final Year Project Source Code

Get runnable Skin Disease Detection Final Year Project Source Code with database files, project setup instructions, live demo options and installation support. This project resource helps students understand the implementation, modules, workflow and technical architecture of a complete MACHINE-LEARNING project.

Skin Disease Detection Final Year Project preview

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What's Included in Your Download

  • Complete Source Code

    Runnable project code with frontend & backend.

  • Database Files

    SQL database file and required resources.

  • Setup Instructions

    Step-by-step README and project setup guide.

  • Configuration Files

    All configuration files and dependencies included.

  • Module Explanation

    Understand key modules and project workflow.

  • Setup & Demo Support

    Installation help and live demo where available.

Choose the Package That Fits You Best

Simple pricing. Instant access. Secure checkout.

01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
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02 Code + Setup Support

₹248

One-time Payment

  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

DermaSense is a final year project built with Python Flask, TensorFlow/Keras, and SQLite for students who want a machine learning based healthcare web application. This final year project allows users to upload skin images, run CNN inference, view predicted disease labels with confidence scores, and maintain private prediction history. The system also supports disease information, precautions, medicine suggestions, optional Grad-CAM overlays, printable reports, and user profile management. The admin console of this final year project includes user management, prediction logs, disease catalog management, precautions, medicines, model upload, model activation, monitoring, and maintenance tools. With support for .keras and .h5 models, DermNet-style class labels, and a demo model generator, DermaSense is suitable for a final year major project in machine learning, Flask, TensorFlow, image processing, or healthcare AI.

Login Credentials

Demo User

  • Username: demo_user
  • Password: UserPass123
  • URL: /auth/login

Administrator

  • Username: admin
  • Password: AdminPass123
  • URL: /auth/admin/login

Project Features and Functionality

Live Demo Preview the working project.