Master_Covid

#Project "Repair": Development of a hybrid deep learning, quantum and classical approach for the prediction of COVID-19 spread: Case of Africa.

Propose a hybrid data-driven approach based on a powerful predictive model for early detection of COVID-19, rapid reporting and reliable alert generation using intelligent techniques capable of handling massive data.
Validate the proposed approach with experiments at the African epidemiological situation. Environment: Python, Deep Learning(RNN),Quantum,PennyLane, GIT, Docker, Agile.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.idea		.idea
Dataset		Dataset
Trained models on medical AND weather data		Trained models on medical AND weather data
Trained models on medical data		Trained models on medical data
README.md		README.md
main.py		main.py
test.csv		test.csv
testQuantumWeather.csv		testQuantumWeather.csv

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