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🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.

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arnabuchiha/SkinSense

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Problem Statement

Skin Cancer is the most common cancer and is oftenignored by people at an early stage. An estimated178,560 cases of melanoma will be diagnosed in theU.S. in 2018. If melanoma is recognized and treatedearly, it is almost always curable, but if it is not, thecancer can advance and spread to other parts of thebody, where it becomes hard to treat and can be fatal.

Solution

Melanoma, if treated early, could be cured. Ourapplication, with 84.7% accuracy is capableenough to classify Melanoma skin cancer even atan early stage remotly. One can easily classifythe type of cancer as Melanoma or not and cantake actions accordingly.

Technology Stack

  • TensorFlow - Google's DeepLearningFramework

  • Model Architecture Inception v3(mobilenet_100_224)

  • Android Studio

  • Google Maps API

  • Firebase - Google's Mobile and Web AppDevelopment Framework

Features

  • Offline data storage for statistical analysis and expertiseconsultancy

  • Offline Classification

  • Google authentication with email verification

  • In app Hospital finder

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Special Mentions

Stood first among the 70 teams in Hitsathon V2.0 (Hindustan University Hackathon)

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Show some love ❤️ and Star ⭐️ the Repository to support the project.

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🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.

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