- Establish project foundation: Setup repository, README, LICENSE, and contribution guidelines.
- Develop MVP with basic IoT sensor data collection.
- Create initial documentation and start community building.
- Implement robust API for data collection, analysis, and access.
- Develop and integrate machine learning models for predictive analytics.
- Enhance IoT integration with support for more sensor types and data sources.
- Foster community contributions and engagement.
- Develop web dashboard for real-time data monitoring and analytics.
- Create mobile applications for access to data and alerts.
- Refine UI/UX based on user feedback.
- Optimize backend for scalability and performance.
- Implement comprehensive testing for reliability.
- Develop a disaster recovery plan and enhance security measures.
- Organize community events and hackathons.
- Develop educational resources and workshops.
- Explore partnerships for broader impact.
- Measure the app's impact on environmental awareness and actions.
- Seek feedback from experts to guide future developments.
- Explore funding models for project sustainability.
- Regularly update and communicate the roadmap's progress.
- Review the roadmap based on feedback, technological advancements, and environmental needs.