With high vehicle density and limited parking spaces, urban areas are increasingly facing significant parking challenges. Traditional parking methods lead to congestion, wasted time, and environmental pollution. This project aims to develop an IoT-based smart parking solution that provides real-time data on parking availability, ensuring a hassle-free experience. The proposed system will integrate sensors, mobile applications, and data analytics to enhance parking efficiency and contribute to smarter city infrastructure.
Week 1-2: Initial Planning and Requirement Analysis
Define the objectives, scope, and high-level requirements for the project
Gather all necessary data and resources Week 3-4: Design Phase
System architecture and data flow design
Wireframes and mockups for the mobile application interface Weeks 5-6: Development Phase: IoT Sensors and Backend
IoT sensor deployment in the parking spots to keep them under observation
Development of the backend that will gather and process data Weeks 7-8: Development Phase: Mobile Application
Implement a mobile application that will inform about the availability of parking spaces and navigate to the parking location in real time
Integration of payment and reservation features Weeks 9-10: Integration and Security
Ensure secure data transmission and storage
Integrate all the system's components and perform an initial test Week 11-12: Testing and Refinement Phase
Extensive testing for functionality and usability
Refine the system based on performance metrics and user feedback
Finalize project report and complete final documentation
Individual presentations of student reports
