"Saving trees for greener future"
A Flutter based project that tracks the trees in your locality and tell us about the needs of sapling.
Ecology, Environment, Climate Change and Disaster Management.
Every year saplings are planted across Odish during different events with a lot of enthusiasm However, most of them die untimely death due to lack of care and maintenance.
In our day-to-day life, we're facing too many problems related to our environment. And one of that problems is the dying of plants and improper care of pre-existing saplings. So, we've come up with the idea of creating a flutter-based app with ML which tells us about the health of saplings in a particular area. It also tells us the requirement for saplings due to climate change, like- water, fertilizer, etc. It can have a feature that will notify the nearby people that these plants require care.
- Locate planted saplings on Google Maps and track their status (whether they have grown, need watering, manure, etc.)
- Create a database of such saplings/trees with geo-spatial references.
- To ensure healthy growth of trees and proper management.
- To spread awareness about tree plantation to the local citizens.
- Provide a mechanism to get real-time alerts (e.g. via email/SMS) to the concerned people for required actions.
- Use Google Maps API and track tree status (whether they have grown, need watering, manure, etc.)
- Database of such saplings/trees with geo-spatial references.
- Use machine learning to predict the survival of a sapling and take preventive measures
- Use predictive analysis to come up with a growth forecast of such saplings/trees
- Provide a mechanism to get real-time alerts (e.g. via email/SMS) to the concerned people for required actions.
- Flutter and Dart for Frontend application.
- Firebase for Backend database, storage and ML model hosting.
In order to get started contributing/building the flutter project, first get Flutter (this project was made with version 3.3.9).
Clone this Repository
git clone LemonDrop847/ecodroid
Get packages
flutter pub get
Build and run main.dart.
We are a group of developers who are open to learning and experimenting with new tech. During this hackathon we learnt -
- Using ML models in a flutter App.
- Usage of cloud storage with database integrations within flutter.
- Learnt about more exciting upcoming and already existing face recognition and detection tech.
- Most ML models dont seem to work with flutter and/or are outdated.
- Flutter firebase packages dont go well together. A loophole was dont to fix this but this is by no means a permanent solution.
- Flutter, beacuse of being new lacks a lot of documentation on very specific topics.
Feel free to submit issues and enhancement requests. Please use our links to contact us.
Contributions are always welcome!
Please refer to each project's style and contribution guidelines for submitting patches and additions. In general, we follow the "fork-and-pull" Git workflow.
- Fork the repo on GitHub
- Clone the project to your own machine
- Commit changes to your own branch
- Push your work back up to your fork
- Submit a Pull request so that we can review your changes NOTE: Be sure to merge the latest from "upstream" before making a pull request!
Please adhere to this project's code of conduct.