Human Disease Prediction using Deep Learning

Our project is based on finding the different diseases of humans like Brain Tumors, Skin Cancer, Lung Cancer, and COVID disease using Deep Learning (CNN) and implementation in Android.

Tools and Technologies Used

• Java (in Android), Python (in ML)
• Android Studio
• PyCharm / Jupyter

Techniques Used

• CNN (Convolutional Neural Network)
• Material Design Layouts for Android
• Firebase Database to store application-related data
• Interconnection using Tensorflow (basically a TensorFlow lite model, that is used in the android application to run the machine learning model)

More about HDP

Our project is based on finding the different diseases of Human-like Brain Tumors, Skin Cancer, Lung Cancer, and COVID disease using Deep Learning (CNN) and implementation in Android. Also, it is a multi-language supported android app, languages that are included Bangla, Hindi, Spanish, France, and English. This app also has a Medical Consult feature where we will find 3-different Segments. First, Disease Checker. The second is a Nearby Hospital finder, and the third is an Emergency Call service.

The android application is developed for the purpose of providing users with an easy way to interact with the app to detect what is going on in their health.

Cause

The android application is developed to provide users with an easy way to interact with the app to detect what is going on in their health.

This app basically helps everyone who wants to check their health at home.

Goal of the project

We have collected and continue to collect thousands of images of diseased and healthy disease X-Rays in form of a dataset for our project.

The goal of our project is to help people to detect the right disease from the scanned images and help them to get a healthy life.

Dataset

• Resource — Lungs, Skin, COVID disease images from Kaggle
• The dataset used in our project includes different diseased classes.
• The total images in the dataset are more than 50,000

Flowchart

Watch the demo video to know more

PAID APP

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