This is our Submission for the VIIT Hackathon, DevCup 2022.
- Domain-Name: Healthcare
- Live Link: Multi Disease Prediction
- Video Link: Video Link
- Problem Statement: Multi-Disease Prediction
One stop solution for most of your medical needs. The features included in the system are Early detection, Awareness, Easy to use, Accurate Predictions, Recommendations, Doctors, Hospitals, Medicals, Access to care, Statistics, Transportation and Multi disease predition.
The services which we offer provides a whopping prediction on 50+ diseases.
The website uses a number of open source projects to work properly:
- Tensorflow - Deep learning application framework
- Scikit-Learn - Bank for classification, predictive analytics, and very many other machine learning tasks.
- Flask - Framework for creating web applications in Python easier.
- Matplotlib - A low level graph plotting library in python that serves as a visualization utility.
- Numpy - Used for working with arrays
- Pandas - Used for data analysis and associated manipulation of tabular data in Dataframes
| Diseases | Notebook |
|---|---|
| Heart Disease Prediction | Multi-Disease-Prediction/heart-disease |
| Cataract Prediction | Multi-Disease-Prediction/cataract-prediction |
| Pneumonia Prediction | Multi-Disease-Prediction/pneumonia-prediction |
| Brain Tumor Prediction | Multi-Disease-Prediction/brain-tumor |
| Parkinson's Disease Prediction | Multi-Disease-Prediction/parkinsons-disease |
| Diabetes Prediction | Multi-Disease-Prediction/diabetes-prediction |
| Other Diseases(47 Diseases) | Multi-Disease-Prediction/other-diseases |
Website requires these steps to install the application on your device
On terminal:
Download virtual env library
pip3 install -U pip virtualenvCreate a virtual environment on your device
virtualenv -p python3 ./venvDownload all the dependencies provided on requirements.txt
pip install -r .\requirements.txtActivate the virtual environment
.\pp\Scripts\activateRun app.py after completing all the steps.