pandudcau / lung-cancer-project

The effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The data is collected from the website online lung cancer prediction system .

Lung Cancer Analyzation Website

A website that predicts the probability of Patient's Lung Cancer Status according to given 15 Parameters.

'AGE','GENDER', 'ANXIETY','COUGHING', 'SMOKING', 'WHEEZING','YELLOW_FINGERS',
'PEER_PRESSURE', 'CHRONIC DISEASE', 'FATIGUE ',
'ALCOHOL CONSUMING', 'SHORTNESS OF BREATH','ALLERGY ',
'SWALLOWING DIFFICULTY', 'CHEST PAIN' .

Using these parameters output predicts the particular patient is disease or Not. Instructions for Pycharm :

1. In project , add the forest html file in the templates folder
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

Prerequistis for run the System

1) Python 3.7.X >
2) Pycharm Community Edition (Optional but Having this Convenient)

Implementing the System

1. Training the Lung Cancer notebook with given Csv File

Lung Cancer Prediction.ipynb

2. Create the Pickle file for the Prediction Analysis

Lung_Cancer.pkl

3. Installing Environment requirements

Using requirements.txt

Deployment of the Application

1. Run this Command in your cmd for depolyment of flask

python app.py

UI of the Application

Final Result