README.md

COVID-19 Global Data Tracker 🌍 A comprehensive data analysis and mobile application that tracks global COVID-19 trends, cases, deaths, and vaccination progress across multiple countries.  Project Overview This project provides: - Data Analysis: Exploratory analysis of COVID-19 trends from 2020-2023 - Mobile App: Android application built with Kivy - Web Dashboard: Flask-based web interface - Visualizations: Professional charts and interactive graphs Objectives - Track global COVID-19 cases, deaths, and vaccination rates - Compare metrics across different countries and regions - Visualize time trends and patterns - Provide accessible data through multiple platforms (mobile + web) - Generate insights about pandemic progression Tools & Technologies Used Programming Languages - Python 3.8+ - Core programming language - HTML/CSS - Web interface - KV Language - Kivy UI definitions Libraries & Frameworks - Pandas - Data manipulation and analysis - NumPy - Numerical computations - Matplotlib - Data visualization - Seaborn - Advanced visualizations - Kivy - Cross-platform mobile app development - Flask - Web application framework - Buildozer - Android APK packaging Development Tools - VS Code - Code editor - Git - Version control - GitHub - Code hosting and collaboration Features Mobile App (Kivy) - Real-time COVID-19 data dashboard - Country comparison statistics - Interactive charts and visualizations - Offline data capability - Responsive design for mobile devices Web Application (Flask) - RESTful API endpoints - Responsive web dashboard - Data export functionality - Interactive visualizations Data Analysis - Time series analysis of cases and deaths - Vaccination progress tracking - Country-wise comparison - Trend identification and forecasting pip install -r requirements.txt