Pipeline for detecting Alzheimer's disease
This pipeline is developed as an AI-Enabled pipeline for assisting Alzheimer's disease disease diagnosis by utilizing a combination of structured data from OASIS on Kaggle and unstructured data using MRI images on Kaggle. A combination of Random Forest classifier and MobleNet image classifier was utilized which was then combined with a Flask API
- clone alzheimers_detection repository
- cd to the cloned repository
- create virtual environment (python -m venv venv)
- activate virtual environment (Windows: venv/Scripts/activate, Linux/Mac: source venv/bin/activate)
- install requirements.txt file (pip install -r requirements.txt)
- lunch fastapi app (python main.py)
- launch streamlit app in separate terminal (streamlit run start.py)