Inspiration.One of the things that should be done in this scenario is manual testing so that the true situation can be understood and right decision is taken and disadvantages of manual testing is costly less testing kits and other so using deep learning is better.
Due to the fact that the disease is highly contagious.Covid 19 analysis using deep learning includes
lungs xrays of patience , the basic ideas is to classify the affected as covid or normal
How I built it i used anacoda navigation to lauch jupyter notebook and import some libraries eg matplot keras ...
Challenges I ran into it was hard to install open cv in the anaconda framework
Accomplishments that I'm proud of the system is working
What I learned .perfecting python skills and machine learning
What's next for Covid 19 Detection using deep learning (Ai) . adding more dataset
Built With
- ai
- kera
- machine-learning
- python
- pytorch
- tensorflow
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