From aa28a92116c1b2735883e43ed1ef3c9f58239bbc Mon Sep 17 00:00:00 2001
From: "Ms. Ayantika Nath" <61502868+Ayantika22@users.noreply.github.com>
Date: Mon, 22 Jun 2020 14:54:05 +0530
Subject: [PATCH] Update README.md

---
 README.md | 45 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)

diff --git a/README.md b/README.md
index 45f2559..43e73a7 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,47 @@
 # Flask-program-For-Wine-Dataset
+
 Introducing Flask Program for wine Dataset
+
+This Flask program is used to display the Prediction of Wine Target.
+
+Wine dataset are taken into consider to form a wed-based Flask App.
+
+Install Anaconda(Open Source Package)
+
+Either use Spyder or Ipython .
+
+I have used Spyder Notebook to run this Flask App.
+
+Create a virtual environment before running Flask app.
+
+Install Numpy, Flask, Pandas using Pip command.
+
+First Run the model.py
+
+Then app.py
+
+Path for running the app User/ User_Name/ Anaconda3/ Folder name/ Paste Flask Wine from github
+
+Unzip
+
+Open Spyder console . Then flask-Wine folder
+
+After running app.py Copy the 127.0.0.1:5000/ using mouse button
+
+Don't press ctrl+ C from keyboard else the console will exit the running part
+
+Paste the url in browser and Enter the dataset value in order to predict Wine Target.
+
+# For more information, Cite this paper if referred. 
+
+1. http://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf
+
+2. https://www.researchgate.net/profile/Ayantika_Nath2/publication/341671505_Clustering_Visualization_and_Class_Prediction_using_Flask_of_Benchmark_Dataset_for_Unsupervised_Techniques_in_ML/links/5ece482292851c9c5e5f8695/Clustering-Visualization-and-Class-Prediction-using-Flask-of-Benchmark-Dataset-for-Unsupervised-Techniques-in-ML.pdf
+
+3. https://www.researchgate.net/profile/Ayantika_Nath2/publication/341150281_Clustering_Using_Dimensional_Reduction_Techniques_for_Energy_Efficiency_in_WSNs_A_Review/links/5eb10592299bf18b9595b113/Clustering-Using-Dimensional-Reduction-Techniques-for-Energy-Efficiency-in-WSNs-A-Review.pdf
+
+Citing the paper(if referred) is mandatory since the paper has copyrights.
+
+# Enjoy Coding
+
+