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README.md

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-    FOR COMP90024 ASSIGNMENT 2
-    BY TEAM 45: 
-        William Chen 1400081
-        Petr Andreev 1375858
-        Rafsan Al Mamun 1407776
-        Ojaswi Dheer 1447227
+# Analysing the Relationship Between Air Quality and Lung Disorder in Australia
 
-# COMP90024_Assignment-2
-This repo contains the assignment 2 files for COMP90024: Cluster and Cloud Programming at the University of Melbourne.
+## Project Overview
+This project demonstrates the use of cloud computing for data analysis, focusing on understanding critical aspects of life in Australia. Specifically, it explores the relationships between air quality and lung-related disorders, and the influence of weather patterns on mental health. Built on a robust cloud stack, this project leverages a scalable and event-driven architecture to ingest, process, and analyze large datasets related to health, weather, and public sentiment.
+
+**[YouTube Video Overview](https://youtu.be/fhftcsxGKWA)**
 
 ## Admins
     William Chen [email protected]
     Petr Andreev [email protected]
     Rafsan Al Mamun [email protected]
     Ojaswi Dheer [email protected]
 
+## Key Features
+- **Cloud Infrastructure**: Hosted on the Melbourne Research Cloud, utilizing OpenStack and Kubernetes to manage efficient data processing and resource allocation.
+- **Data Processing and Storage**: Serverless functions managed by Fission for event-based data processing, with ElasticSearch providing large-scale data storage and quick data retrieval.
+- **Scenarios Analyzed**:
+  - **Air Quality and Lung Disorders**: Analyzes correlations between PM2.5 levels and lung disease rates, offering insights for policymakers and public health.
+  - **Weather and Mood**: Examines potential links between weather patterns and public mood by analyzing weather data alongside social media sentiment.
+- **Interactive Analytics**: Jupyter Notebooks are used as the front-end interface, offering interactive data exploration, visualization, and in-depth analysis.
+
+## Technology Stack
+- **Kubernetes & Fission**: Orchestrates and deploys serverless functions, enabling an event-driven architecture.
+- **ElasticSearch**: Indexes and stores large volumes of data for efficient querying and real-time analytics.
+- **Jupyter Notebooks**: Allows for interactive data analysis and visualization, ideal for presenting insights and engaging stakeholders.
+
 ## Setup
 ### Installation
  - As with the assignment class repository, you should install the below: