Deployed Web/App Link: https://ezy-park.vercel.app/
HACKAZARDS Presentation: https://www.canva.com/design/DAF-psP3_jI/pO-WvED9iEe5Wrc72LmbEQ/view?utm_content=DAF-psP3_jI&utm_campaign=designshare&utm_medium=link&utm_source=editor
Imagine a city where finding a parking spot is effortless, where traffic congestion is minimized, and where you can seamlessly navigate urban mobility. That's the vision behind EzyPark, India's premier smart parking solution.
EzyPark is not just about convenience; it's about sustainability. We're committed to reducing traffic congestion and air pollution, aligning with India's smart city initiatives.
Our partnerships with city authorities, transportation companies, and local businesses enhance the ecosystem, making EzyPark your go-to choice for a seamless travel experience.
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Real-time Parking Availability: EzyPark provide real-time updates on available parking spaces for the parking seekers.
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Dynamic Pricing: Our system optimizes parking prices based on demand to ensure effective resource usage and generate sustainable revenue.
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Parking Reservation and Payment: Users can conveniently reserve parking spots and make payments through the app, saving time and reducing environmental impact.
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Traffic Management: EzyPark analyzes traffic patterns to help city administrators manage congestion and optimize mobility.
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Data Analysis: EzyPark collects and analyzes data on parking usage, traffic patterns, and pricing which can be used to make informed decisions and policy planning.
- Machine Learning: TensorFlow and PyTorch are used for predictive analysis and pattern recognition.
- Computer Vision: OpenCV is used for real-time image and video analysis to detect vehicle presence.
- IoT Sensors: Energy-efficient sensors are used for real-time data collection on the availability of parking spaces.
- Backend: Python and Node.js handle server-side operations, processing sensor data, and running machine learning models.
- Frontend: Flutter is used to create an intuitive and responsive user interface.
- Database: Firebase is used to store real-time sensor data and user information. It allows for efficient data retrieval and real-time updates.
- Cloud: AWS provides scalable computing and storage resources, ensuring the system can handle large amounts of data and high traffic loads.
- Blockchain: Blockchain for recording transaction and data, payment processing and NFT/ Token based reward system.
This project was bootstrapped with Create React App.
In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
Note: this is a one-way operation. Once you eject, you can't go back!
If you aren't satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
You don't have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify