This is a web application project for identifying malaria using Flask. The application is designed to provide a user-friendly interface for users to upload and analyze blood smear images to detect the presence of malaria parasites. The project also uses XAMPP for database management and includes a db.sql file that can be imported into the MySQL server in XAMPP for database operations.
- User Roles: The application supports two user roles:
- Admin: Admins can manage users, access all patient data and approve doctors.
- Doctor: Doctors can view patient data, upload new patient records, and analyze blood smear images.
- Patient Management: Add, edit, and delete patient records, including patient information, medical history, and test results.
- Image Upload: Upload blood smear images for malaria identification.
- Image Processing: The uploaded images are processed to detect malaria parasites.
- Results Display: The application displays the results of the malaria detection.
- Database Integration: XAMPP is used for database management, allowing you to store user data and analysis results.
Before you get started, make sure you have the following installed:
- Python 3.x
- XAMPP (or any other MySQL server)
- MySQL Connector for Python
-
Clone this repository to your local machine:
git clone https://github.com/khalid-akhss19/Malaria-Identification-System.git
-
Create a virtual environment (optional but recommended):
python -m venv venv
Activate the virtual environment:
- On Windows:
venv\Scripts\activate
- On macOS and Linux:
source venv/bin/activate -
Install the required Python packages:
pip install -r requirements.txt
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Import the db.sql file into your MySQL server using phpMyAdmin or the MySQL command line.
Start the Flask application:
python app.py- Access the application in your web browser.
- Use the application to upload blood smear images and view the results.