shantanu-RaTHOR / POTHOLE-DETECTION-AND-MANAGMENT

This project was built for smart managment of potholes.It allows a user to report Pothole in their neighbouring area seamlessly. Also, using this platform, officials can resolve the reported issues easily and the concerened user gets notified.

POTHOLE DETECTION AND MANAGMENT

This project was built for smart managment of potholes.It allows a user to report Pothole in their neighbouring area seamlessly. Also, using this platform, officials can resolve the reported issues easily and the concerened user gets notified.

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Features

• User can report pothole using the app
• Using the ML model the app detect whether the clicked picture is of a pothole or not
• The location of user get detected automatically
• Separate web application for officials.
• Once the issue is reported a concerned official can solve that issue using the web application
• When the issue is resolved the concerned user is notified through email

Links

• Android Apk: https://drive.google.com/file/d/1-9bX1CjyYlOCvJHYFp17mPUUYzIde3sN/view
• App video: https://drive.google.com/file/d/1YxTv-GC-2Izr3-fkDaKkUHaVvjdNX72e/view
• Web Video: https://drive.google.com/file/d/1lcr8aDisq8QzQL54eXcNReT5wztIlVyT/view
• Frontend: https://bugslayerss.netlify.app/public/login
• Backend: https://bug-slayerss.herokuapp.com
• PPT link: https://www.canva.com/design/DAERe-IBHd4/w2wLb6KcIpFRsbORCLuiDA/view?utm_content=DAERe-IBHd4&utm_campaign=designshare&utm_medium=link&utm_source=sharebutton#1

Requirements (Android)

• MIN SDK VERSION 21

Technology Stack Used

• Anrdoid: Java, Retrofit,Gson,Locale,Firebase ML vision
• Machine Learning: ML kit,Tensorflow Lite
• Frontend: HTML5, CSS3, Bootstarp, JQuery
• Backend: Node.js, Express.js
• Version Control: Git and GitHub
• Database: MongoDb
• Hosting: Heroku, Netlify
• IDE: VS Code

Permissions Required (Android)

• Internet
• Location/GPS

SCREENSHOTS

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Thank You

Made with Love ❤️️ & Passion 🙏.

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