Inspiration
Inspired through the idea of SYRCityline Requests (2021-Present), https://seeclickfix.com/syracuse The SYRCityline requests is a very large dataset This includes requests for city services which have been made by residents through SYRCityline, which utilizes SeeClickFix software.
The need of safety and analysing the safety and issues caused by potholes
What it does
Pothole Detector & Analyser generates alter on Google Maps, If you are passing by and if there is a pothole you will get an alter.
Analyzer will tell the User who issues the complaints what would be the estimated time that a particular issue will get resolved The Analysis was done using nearest issues by distance meaning what are similar issues in that particular area and how much time it took to get resolved. The Analysis was done using similar description meaning what are similar issues in that with respect to the description mentioned by other and how much time it took to get resolved.
We also give the Administration and analysis of how many issues were closed in the respective time allotted by government and these issues need more attention and priority.
How we built it
We built using python, flutter We used Google API to Generate Alerts. We used Machine Learning to predict
Challenges we ran into
Limited data, understanding the current issues faced by user
Accomplishments that we're proud of
We were able to generate alerts which would save many lives. We were able to give users an estimate of how much time it will take to resolve a issue. We were able to flag the issues which needs high priority
What we learned
working on live datasets and data analysis
What's next for Pothole Detector & Analyser
The app can be the forefront for Administration and users both.
Built With
- dart
- datascience
- flutter
- geolocator
- google-maps
- machine-learning
- matplotlib
- numpy
- pandas
- seaborns
- sklearn
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