Parkconnect: AI-Powered Residential Parking Marketplace

Residential parking facilities are not utilized effectively since they remain vacant for many hours each day while visitors have trouble locating convenient and inexpensive options [6]. Traditional parking facilities are seen as a result of infrastructure problems due to physical property issues rather than providing opportunities for private owners to generate revenue from idle spaces. Recent advancements on the internet such as smart parking, parking prediction, shared parking/reservation and two-way parking platform show how these systems are able to match supply demand effectively [1]-[10]. The study is about this topic of research direction which relates to ParkConnect that it is a platform based on artificial intelligence where people who own spaces can connect with those who need temporary parking services. IoT &, sensors-based occupancy monitoring; Machine Learning Deep Learning Parking Availability Prediction Reservation Allocation Models Intelligent Parking Matching Monetary Mechanisms Two-Sided Market Model Surveyed. These methods� we could integrate this process within our existing system where owners list up their availability while drivers share information about available spaces; then an algorithm would estimate how many people will want to park their based upon proximity before assigning those spots out along with accepting bookings and paying discounts ←& providing reviews/feedback through the app. There**Research needs remain for more information on residential scale of data, trust and security issues, uncertainty around arrival/departure time schedules, variable prices policies, explanations behind recommendation algorithms and integration between revenue generation models and predicting occupancy rates. Research to develop ParkConnect as an easy-to-use app based on real estate listings.