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Siddharth KM
Karnataka
Diagnosify
Diagnosify is an innovative brain disease classification project designed to leverage the power of machine learning and Intel oneAPIs for accurate and efficient brain disease prediction. In the modern healthcare landscape, early and accurate diagnosis plays a pivotal role in ensuring timely medical ...learn more
Project status: Under Development
Intel Technologies
DevCloud,
oneAPI,
Intel Python
Overview / Usage
Diagnosify employs sophisticated machine learning algorithms to analyze medical data and images. This enables it to deliver accurate predictions about disease presence, assisting medical experts in making informed decisions. The project develops specialized machine learning models for each disease category, finely tuned to recognize distinct disease characteristics. By integrating Intel oneAPIs, Diagnosify optimizes its performance, ensuring efficient use of hardware resources for quicker and more reliable predictions.
Methodology / Approach
These are the steps involved in making this project:
- Importing Libraries
- Data Importing
- Data Exploration
- Data Configuration
- Preparing the Data
- Creating a Generator for Training Set
- Creating a Generator for Testing Set
- Writing the labels into a text file 'Labels.txt'
- Model Creation
- Model Compilation
- Training the Model
- Testing Predictions
- Saving model as 'modelnew.h5'
- Deploying the Model as a Web Application using Streamlit
Technologies Used
These are the frameworks/libraries used to in the development of project.- Intel API
- Python
- Streamlit
- Machine Learning
- TensorFlow
Repository
https://diagnosify.streamlit.app/