1983rn/RN-LAB-TECH-school-reporting-system-2026

The Malawi School Reporting System is a comprehensive web application designed to generate professional school reports compatible with Malawi Ministry of Education standards. The system provides individual termly report cards, class analysis, and performance analytics with official MOEST formatting accessible from any web browser # Malawi School Reporting System A comprehensive web-based student management and report generation system designed for Malawi secondary schools. Features responsive data entry, PDF report generation, and professional Malawi flag-themed UI design. ## 🎯 Key Features - **Multi-Form Support**: Data entry for Forms 1-4 with subject-specific mark recording - **Responsive Design**: Mobile-friendly interface with sticky headers and no horizontal scrolling - **PDF Report Generation**: Individual student report cards with professional formatting - **Quick Actions**: One-click print buttons for each student, bulk operations support - **Malawi Theming**: Beautiful UI with national flag colors (green, red, black, gold) - **Real-time Validation**: Input validation and error handling for data integrity ## 🛠️ Technology Stack - **Backend**: Flask (Python) - **Database**: SQLite with custom ORM - **Frontend**: Bootstrap 5, HTML5, CSS3, JavaScript - **PDF Generation**: ReportLab library - **Styling**: Custom CSS with Malawi flag color scheme --- ## Deployment on Render.com This application is ready for deployment on Render. ### Using `render.yaml` (Recommended) 1. Push your code to a GitHub/GitLab repository. 2. On the Render dashboard, create a new **Blueprint** service. 3. Connect your repository. Render will automatically detect and use the `render.yaml` file to configure the web service. ### Manual Configuration 1. On the Render dashboard, create a new **Web Service**. 2. Set the **Build Command** to: `pip install -r requirements.txt` 3. Set the **Start Command** to: `gunicorn wsgi:app` ## Local development (optional) 💻 You can run the app locally using a small, opt-in helper included in `app.py` that mirrors the behavior of `run_web_app.bat` while keeping production-safe defaults. Quick examples: - Create a virtual environment and install requirements (one-time, opt-in): ```bash python app.py --setup ``` - Start the development server: ```bash python app.py --hos …