📚 Data-Driven Education: Bridging the Dropout Gap

🎯 The Challenge: High dropout rates plague our education system, primarily due to poverty and societal pressures.

📊 The Solution: Let's leverage data to tackle this issue effectively through a multi-dimensional analysis:

1. School Wise: Identify problematic schools for targeted intervention.
2. Area Wise: Address regional education disparities.
3. Gender Wise: Bridge gender-based education gaps.
4. Caste Wise: Target marginalized communities with tailored policies.
5. Age/Standard Wise: Ensure no child is left behind at any stage.

🔍 The Impact: Informed policies can transform education, empowering every child to reach their potential. Join us on this data-driven journey for a brighter, equitable future. 🌟 #EducationForAll #DataDrivenChange

• API support available.
• Dedicated Admin panel for full control over your data.
• High level security.
• Easily Scalable.
• Friendly UI for users
• Bonus feature: Added volunteer page where anyone can volunteer and help those dropout students.

Dropouts Analyzer works with Python 3, on any platform.

To get started with using Dropouts Analyzer, run the following in a virtual environment:

pip install -r requirements.txt
cd DropoutsAnalyzer
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver

To access admin panel use your super user credentials here. http://localhost:8000/admin