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# Lung Cancer Analyzation Website |
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A website that predicts the probability of Patient's Lung Cancer Status according to given 15 Parameters. |
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``` |
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'AGE','GENDER', 'ANXIETY','COUGHING', 'SMOKING', 'WHEEZING','YELLOW_FINGERS', |
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'PEER_PRESSURE', 'CHRONIC DISEASE', 'FATIGUE ', |
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'ALCOHOL CONSUMING', 'SHORTNESS OF BREATH','ALLERGY ', |
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'SWALLOWING DIFFICULTY', 'CHEST PAIN' . |
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``` |
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Using these parameters output predicts the particular patient is disease or Not. |
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Instructions for Pycharm : |
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1) In project , add the forest html file in the templates folder |
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2) In the static folder add the css and js file for css js elements to work on webpage.Get it from here : https://materializecss.com/getting-started.html |
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## Prerequistis for run the System |
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``` |
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1) Python 3.7.X > |
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2) Pycharm Community Edition (Optional but Having this Convenient) |
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``` |
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## Implementing the System |
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1) Training the Lung Cancer notebook with given Csv File |
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``` |
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Lung Cancer Prediction.ipynb |
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``` |
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2) Create the Pickle file for the Prediction Analysis |
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``` |
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Lung_Cancer.pkl |
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``` |
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3) Installing Environment requirements |
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``` |
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Using requirements.txt |
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``` |
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## Deployment of the Application |
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1) Run this Command in your cmd for depolyment of flask |
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``` |
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python app.py |
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``` |
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## UI of the Application |
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## Final Result |
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 |
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