Update README.md

README.md

@@ -1 +1,50 @@
-# Credit-card-kafka
+
+#  Fraudulent Credit Card Transaction detection in real time using Kafka
+
+Utilized SparkML and Scikit-Learn to develop and train several machine learning
+models for distinguishing fraudulent and legitimate transactions.
+The machine learning models are then utilized to make predictions on Kafka-generated real-time data streams. 
+Built an interface for displaying these predictions in real time using Streamlit framework.
+
+
+[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)
+![issues](https://img.shields.io/github/issues/ashwinn-v/Photoshop-App)
+![forks](https://img.shields.io/github/forks/ashwinn-v/Photoshop-App)
+![stars](https://img.shields.io/github/stars/ashwinn-v/Photoshop-App)
+
+
+
+## Installation steps
+
+#### Install Anaconda
+
+```
+  https://www.anaconda.com/products/individual
+```
+
+
+#### Create a conda environment and activate it
+
+```
+  $ conda create streamlitapp
+  $ conda activate streamlitapp
+```
+
+#### Install required packages from requirements.txt
+
+```
+  # Clone this repository 
+  $ cd 
+  $ pip install -r requirements.txt
+```
+
+#### Run the streamlit app
+
+```
+  $ streamlit run app.py  
+```
+
+
+## 🛠 Tools
+Streamlit, PySpark, Kafka, Python
+