{"id":18822486,"url":"https://github.com/syedarsalan798/covid-tracker-app","last_synced_at":"2026-04-14T04:32:03.223Z","repository":{"id":180606498,"uuid":"665418096","full_name":"SyedArsalan798/covid-tracker-app","owner":"SyedArsalan798","description":"The COVID-19 Tracker is a web application built with Flask that allows doctors and patients to track and manage COVID-19 cases. 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It provides functionalities for doctors to generate and forward results, and for patients to view their reports.\n\nYou can find already Trained Model on Google drive: [CNN_Covid19_Xray_V1.h5](https://drive.google.com/file/d/1GIz1F3G4p2sxWYFR8TYqSTNpl25NnX6Y/view?usp=sharing)\n\n\n# Features\n- **Doctor Dashboard:** Doctors can view a list of X-ray images uploaded by patients, generate results based on a machine learning model, and forward the results to patients.\n- **Patient Dashboard:** Patients can view their X-ray images and the corresponding results generated by doctors.\n- **Predictive Model:** The app uses a machine learning model to predict whether an X-ray image indicates COVID-19 or is normal.\n- **SQLite3 Database:** The app utilizes a SQLite3 database to store X-ray images, patient information, and generated results.\n\n# Technologies Used\n- Flask: A Python web framework used for building the application.\n- SQLite3: A lightweight database management system used for data storage.\n- Bootstrap: A front-end framework used for responsive and attractive UI.\n- Machine Learning (ML): A trained ML model is used to predict COVID-19 cases based on X-ray images. You can find dataset [here](https://www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database).\n\n# Installation and Setup\n- Clone the repository: `git clone \u003crepository_url\u003e`\n- Create a virtual environment: `python -m venv venv`\n- Activate the virtual environment: `source venv/bin/activate` (for Linux/Mac) or `venv\\Scripts\\activate` (for Windows)\n- Install the required dependencies: `pip install -r requirements.txt`\n- Run the Flask application: `flask run`\n\n# Usage\n- Access the web application at [http://localhost:5000](http://localhost:5000) (or as per Flask's default configuration).\n- Doctors can log in, view X-ray images, generate results, and forward them to patients.\n- Patients can log in, view their X-ray images, and check the generated results.\n\n# Contributing\nContributions are welcome! Please fork the repository and submit a pull request with your proposed changes.\n\n# License\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedarsalan798%2Fcovid-tracker-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsyedarsalan798%2Fcovid-tracker-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedarsalan798%2Fcovid-tracker-app/lists"}