Sponsorship Influencer Coordination Platform (v1)
Project Overview: The Sponsorship Influencer Coordination Platform (v1) provides a straightforward solution for sponsors and influencers to collaborate on campaigns. Sponsors can create advertising campaigns, while influencers browse, accept, or negotiate requests. With secure authentication, SQL-based data management, and basic visual analytics, the platform simplifies the sponsorship workflow while maintaining security and scalability.
Project source code: https://github.com/Risdorn/Sponsorship-Coordination-Platform-v1
Objectives
- Enable sponsors and influencers to coordinate campaigns efficiently.
- Implement secure login and data persistence for reliable user management.
- Provide basic campaign insights through visualizations.
Features
-
Sponsor Campaign Management:
- Sponsors can create and manage advertising campaigns.
- Campaign details and statuses are easily accessible.
-
Influencer Coordination:
- Influencers can browse campaigns, accept opportunities, or negotiate terms.
- Streamlines communication and fosters collaboration.
-
Secure Login:
- Authentication via Flask-Login and bcrypt ensures account security.
- User credentials are safely hashed and stored.
-
Data Persistence and Pagination:
- SQLAlchemy ORM manages and persists application data.
- Pagination handles large datasets efficiently for better user experience.
-
Data Visualization and Mock Data:
- Matplotlib provides basic campaign performance visualizations.
- Faker generates test data to facilitate development and testing.
Technology Stack
- Frontend: HTML, Bootstrap
- Backend: Flask
- Database: Flask-SQLAlchemy (SQLAlchemy ORM)
- Authentication: Flask-Login, Flask-Bcrypt
- Visualization: Matplotlib
- Data Generation: Faker
Outcome
The platform successfully provides a simple yet effective environment for campaign management and sponsor-influencer coordination. By combining secure authentication, structured data management, and visual insights, it improves the efficiency of sponsorship deals and lays the foundation for more advanced versions.